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Dr. Emily Carter adjusted her reading glasses as she settled into her ergonomic chair in the sunlit home office of her Victorian townhouse in Boston’s Back Bay neighborhood, the faint hum of Beacon Street traffic filtering through the double-paned windows. At 55, with silver streaks in her dark hair and a career spanning three decades as a cardiologist at Massachusetts General Hospital, Emily had seen her fair share of complex cases, but lately, her private practice on StrongBody AI had opened doors to patients far beyond the bustling corridors of the hospital’s cardiology wing. This morning, as she sipped her black coffee from a mug emblazoned with the hospital’s logo—brewed fresh from her Keurig machine—she logged into the platform, her laptop screen illuminating the neatly organized desk cluttered with medical journals and a framed photo of her hiking the Appalachian Trail last summer with her husband, Tom, a retired engineer. A notification popped up: a new message from a patient named James Harrington, a 48-year-old software developer based in London’s bustling Canary Wharf district, who had reached out two days ago after experiencing irregular heart palpitations during a high-stakes project deadline at his fintech firm.
James, sitting in his modern high-rise apartment overlooking the Thames, had woken up at 6 AM to the sound of his alarm, his smartwatch buzzing with a reminder to check his heart rate—110 bpm, elevated again despite cutting back on caffeine to just one espresso per day from the corner café on Jubilee Place. With a family history of cardiovascular issues—his father had undergone bypass surgery at 50 in a Manchester hospital—he knew better than to ignore the symptoms, especially after a recent episode where his chest tightened during a virtual meeting with 12 team members scattered across Europe, forcing him to mute his microphone and breathe deeply for five minutes. Traditional apps like WhatsApp or Messenger had sufficed for casual chats with friends, but when he searched for specialized health advice, they fell short—no seamless translation for nuanced medical terms, no built-in way to formalize consultations or track progress without juggling multiple tools. That’s when James discovered StrongBody AI through a colleague’s recommendation during a lunch break at a sushi spot in Cabot Square, where they discussed wellness platforms over salmon rolls and miso soup. Signing up as a buyer, he selected interests in preventive cardiology and stress management, and the system’s smart matching connected him to Dr. Carter, whose profile boasted over 200 successful remote consultations, including a case where a 45-year-old executive reduced arrhythmia episodes by 35% through tailored lifestyle adjustments monitored over six months.
Emily opened the MultiMe Chat window, her fingers hovering over the keyboard as she typed a greeting: “Good morning, James. I reviewed your initial description of the palpitations—occurring twice weekly, lasting about 10 minutes each, often after stressful calls. Could you describe any accompanying symptoms, like shortness of breath or dizziness?” She hit send, knowing the platform’s AI would handle any linguistic nuances, even though both spoke English; James’s messages sometimes included British idioms that might confuse standard translators. James, multitasking with a bowl of oatmeal topped with blueberries—his attempt at a heart-healthy breakfast—replied promptly from his standing desk, the London skyline visible through floor-to-ceiling windows: “Morning, Dr. Carter. Yes, slight dizziness, no chest pain though. Happens mostly post-meetings, like yesterday after pitching to investors for three hours straight.” Unlike ordinary messaging apps where texts flew back and forth without context or safeguards, MultiMe Chat embedded each exchange with timestamps and automatic backups, ensuring every detail could serve as a reference for medical records, aligning with international standards like those from the World Health Organization for secure telehealth communication.
As the conversation deepened, Emily suggested a voice message for clarity—after all, tone could reveal stress levels that text obscured. She recorded a 45-second clip: “James, based on what you’ve shared, this could be stress-induced arrhythmia. I’d recommend starting with a Holter monitor reading; I can guide you on affordable at-home options. Have you tracked your episodes in a journal?” Her voice, calm and authoritative, carried the weight of her experience from treating 150 similar cases last year alone, where early intervention prevented escalation in 80% of patients. Sending the voice note, she watched as MultiMe Chat’s AI Voice Translate kicked in seamlessly—not just transcribing but offering real-time conversion if needed, though in this case, it preserved the original audio while providing a text summary. James, pausing his code review on a dual-monitor setup displaying lines of Python scripts for a new banking algorithm, played the message through his noise-canceling headphones. The clarity was impeccable; no awkward pauses or misinterpretations like he’d encountered in Zoom calls with non-native speakers during international collaborations. He responded with his own voice note: “Thanks, Doctor. I’ve noted episodes in my phone notes—five this month, correlating with 60-hour workweeks. What’s next?” The platform translated his slight Cockney accent nuances into clear playback for Emily, who listened while jotting notes on a legal pad, her pen scratching against the paper as she cross-referenced his symptoms with guidelines from the American Heart Association for remote cardiac assessments.
This was where MultiMe Chat diverged sharply from everyday apps like iMessage or Telegram, which treated conversations as fleeting exchanges without deeper integration. Here, Emily could pivot effortlessly to business elements; she crafted an Offer right within the chat thread—a customized consultation package appearing as a sleek, interactive card amid the messages. “James, I’m sending an Offer for a four-week monitoring plan: weekly voice check-ins, personalized exercise recommendations like 30-minute brisk walks in Regent’s Park thrice weekly, and access to my dietary templates proven to lower blood pressure by an average of 10 mmHg in 120 patients over three months. Total cost: $300, including platform fees.” The Offer detailed timelines—first session in 24 hours, progress tracked via shared metrics—and payment options through Stripe, with escrow holding funds until completion. James, glancing at his calendar app showing back-to-back meetings until 8 PM, reviewed the card without leaving the chat; no need to switch tabs or apps, unlike clunky integrations in standard messengers where links often led to external sites prone to glitches. He accepted with a tap, entering his credit card details securely—verified by OTP from his bank app—and the transaction confirmed in seconds, funds secured in escrow to ensure transparency.
Emily received the acceptance notification instantly, her screen flashing green as she scheduled the first session. “Excellent, James. Let’s start with a baseline assessment. Record a quick voice note of your current heart rate reading from your watch.” This fluidity turned the chat into a hub for not just talk but actionable care, adhering to global telehealth protocols emphasizing data security and patient consent, as outlined in frameworks like the EU’s GDPR for health data handling. James complied, attaching a screenshot of his watch displaying 95 bpm after a short breathing exercise he’d tried from a prior app, but now enhanced by Emily’s real-time feedback: “That’s improved from your initial 110. Try this guided technique—inhale for four counts, hold for four, exhale for four—repeat five times daily.” Her voice message arrived translated if he switched languages, but since he hadn’t, it played natively, the AI ensuring medical terms like “arrhythmia” retained precision without phonetic errors common in apps like Google Translate bolted onto basic chats.
Over the next few days, their exchanges built momentum. James, during a commute on the Jubilee Line tube from Canary Wharf to his office, messaged about a flare-up after a tense negotiation with a client in Singapore, where cultural differences had amplified his stress—resulting in a 15-minute episode of fluttering heartbeats amid the crowded carriage. Emily, in between hospital rounds where she consulted on a 62-year-old patient’s stent procedure in the cath lab, responded via voice: “Noted, James. That aligns with patterns in 40% of my remote patients under similar pressures. Adjust your plan: incorporate 10-minute meditation breaks, like the one I’ll attach.” She uploaded an audio file directly in chat—a custom 10-minute session she recorded in her office, drawing from evidence-based practices that reduced cortisol by 25% in a study of 200 professionals. MultiMe Chat’s integration allowed tracking: each file logged as delivered, with James confirming playback on his end, creating a audit trail far beyond what Slack or Facebook Messenger offered, where files vanished into threads without verifiable receipts.
As progress unfolded, Emily monitored via shared updates—James sent weekly heart rate logs from his app, averaging a 15% drop to 85 bpm resting, correlating with his new routine of evening walks along the Thames path, where he passed joggers and cyclists under the glowing lights of Tower Bridge. “Feeling steadier, Doctor. No episodes this week,” he voiced in a message while preparing dinner—a grilled chicken salad with spinach and walnuts, following her recipe that boosted omega-3 intake, linked to 30% fewer cardiac events in longitudinal data from 500 participants. The chat’s business layer shone when adjustments were needed; Emily sent a revised Offer for an add-on: “$100 for extended monitoring tools, including app integration for real-time alerts if rates exceed 100 bpm.” James accepted during a coffee break at work, the escrow updating seamlessly, ensuring he only released funds after verifying the tools’ setup— a Bluetooth-enabled monitor he ordered online, arriving at his doorstep in three days.
This embedded commerce set MultiMe Chat apart, transforming dialogues into enforceable agreements without the fragmentation of traditional apps, where users emailed contracts separately or used insecure links. For international standards, it meant compliance with HIPAA-like protections in the US, safeguarding James’s data as if he were in Emily’s Boston clinic, with encryption on every voice translate and offer transmission. By week three, James reported sleeping seven hours nightly—up from five—attributing it to Emily’s voice-guided relaxations, which he played before bed in his quiet bedroom overlooking the Docklands. “This is game-changing,” he messaged, and Emily replied: “Glad to hear. Your metrics show stabilization; let’s review in our next voice session.” Their call, initiated via chat’s built-in video link, lasted 30 minutes; Emily from her office, James from home after picking up his kids from school in nearby Greenwich, discussing how the plan mitigated a potential 20% risk escalation based on his initial symptoms.
The platform’s voice translation proved pivotal when James referred a colleague, Maria, a 42-year-old marketing director from Madrid now working in London, who joined the chat for a group consult on team wellness—her Spanish-inflected English seamlessly rendered for Emily. “Hola, Dr. Carter. James mentioned your expertise; I’m dealing with similar issues post-relocation,” Maria voiced, her message auto-translated to flawless English playback. Emily responded in kind: “Welcome, Maria. Describe your symptoms—fatigue after 10-hour days?” The AI handled “palpitaciones” as “palpitations” accurately, preserving medical integrity unlike generic apps where mistranslations like “heartbeats” for “arrhythmia” could mislead. They formed a mini-team within chat, Emily sending a group Offer for shared sessions at $200 each, tracking individual progress with dashboards visible only to participants, fostering collaborative care per international guidelines for multidisciplinary telehealth.
By month’s end, James’s episodes dropped to zero, his blood pressure steady at 120/80—down from 135/85—measured at a local clinic in Poplar, confirming the remote plan’s efficacy. “I presented to the board yesterday without a hitch,” he voiced triumphantly, while cooking pasta for his family of four in the kitchen, the aroma of tomato sauce filling the air. Emily, wrapping up her day with a glass of red wine on her porch overlooking the Charles River, affirmed: “Outstanding progress. Your adherence to the walks—totaling 15 miles weekly—and diet shifts made the difference.” The escrow released funds automatically after James’s confirmation, no disputes thanks to the transparent logs—every voice note, offer, and metric archived.
Emily’s practice flourished; another patient, a 50-year-old teacher from Chicago named Laura, connected via matching after searching for endocrine support. In MultiMe Chat, Laura described thyroid fluctuations during menopause, her voice trembling slightly in a 20-second note sent from her classroom during lunch break, surrounded by student artwork on the walls. Emily’s response integrated translation for any jargon, then an Offer for hormone-balancing consultations: “$250 for six weeks, including lab interpretation and supplements guidance, reducing symptoms by 40% in 90 similar cases.” Laura accepted while grading papers, the chat evolving into a lifeline where progress notes showed energy levels rising from 4/10 to 8/10, enabling her to coach the school soccer team without fatigue.
In New York, a wellness coach named Alex, 38, from Brooklyn, used the chat for spiritual guidance with a UK-based astrologer, sending voice queries about career shifts amid Mercury retrograde. The AI translated astrological terms precisely, and an Offer for readings at $150 sealed the deal in-chat, with follow-ups tracking emotional improvements—Alex reporting 50% less anxiety in job interviews at tech startups in Manhattan.
Back with James, a follow-up Offer for annual maintenance at $500 ensured ongoing support, his health metrics now baseline for his GP in London, who noted the platform’s documentation rivaled in-person visits. Emily reflected during a weekend brunch at a café on Newbury Street—eggs Benedict and fresh orange juice—how MultiMe Chat’s fusion of communication, translation, and commerce elevated care to global standards, bridging Boston and London effortlessly.
The ripple continued; James’s wife, Sophie, a 46-year-old graphic designer, joined for nutrition advice, her French heritage bringing bilingual elements seamlessly handled by voice translate. “Bonjour, Dr. Carter. Need help with meal plans,” she voiced, leading to an Offer integrated mid-chat, results showing her cholesterol dropping 15 points after four weeks of Mediterranean-inspired recipes.
In San Francisco, a tech entrepreneur, Raj, 52, from the Mission District, chatted with Emily about preventive measures post a family scare—his uncle’s heart attack at 55 in Mumbai. Voice messages flew, translated from Hindi accents, with Offers for genetic counseling add-ons, progress yielding a 25% risk reduction per personalized algorithms.
Emily’s evenings often ended reviewing chats, like one with a Seattle-based nurse, Karen, 60, seeking palliative insights for aging parents. The chat’s transparency allowed contract tweaks in real-time, escrow ensuring fair exchanges, aligning with WHO’s emphasis on equitable telehealth.
As seasons changed—Boston’s fall leaves turning gold—Emily’s caseload grew, each interaction underscoring MultiMe Chat’s superiority: not mere messaging, but a secure, integrated ecosystem for international health dialogues, where voice translates bridged cultures, offers streamlined deals, and tracking ensured outcomes like James’s sustained vitality, walking briskly to work with a heart rate of 75 bpm, his life transformed one seamless exchange at a time.
In Chicago’s Wrigleyville, a fitness trainer named Mike, 35, used the chat for collaborative sessions with UK experts on sports nutrition, voice notes detailing client regimens— Offers for joint programs at $400, results in 30% performance boosts for 50 athletes.
Emily’s holiday in the Berkshires, amid snowy trails, didn’t halt chats; a quick voice response to a New Orleans patient’s query, translated flawlessly, led to an Offer resolved remotely.
The platform’s essence shone in crises; when James felt a twinge during a holiday in the Lake District, a rapid chat with voice analysis guided him to local care, escrow holding for follow-up consults.
MultiMe Chat, thus, redefined boundaries, enabling Emily to impact lives from her Boston haven to London’s docks, each thread a testament to its advanced, business-infused communication prowess.<|control12|>Dr. Amelia Wright leaned back in her leather armchair in the cozy study of her brownstone home in Chicago’s Lincoln Park neighborhood, the soft glow of her desk lamp illuminating stacks of medical charts and a steaming cup of herbal tea—chamomile with a hint of lavender, her go-to after a long shift at Northwestern Memorial Hospital. At 52, with short-cropped auburn hair and a career dedicated to endocrinology, Amelia had treated over 300 patients with thyroid disorders in the past year alone, many facing complications from global travel or multicultural lifestyles that complicated symptom management. This evening, as snow flurries danced outside her window overlooking the frozen pond in the park, she opened her laptop to check StrongBody AI, where her seller profile connected her to seekers worldwide. A new message blinked from Sofia Ramirez, a 39-year-old graphic designer in Manchester, England, who had matched with Amelia through the platform’s smart algorithm after inputting concerns about persistent fatigue and weight fluctuations—symptoms that had worsened during her recent project designing campaigns for a tech startup, involving 14-hour days hunched over her dual-screen setup in a converted loft apartment near the Northern Quarter.
Sofia, stirring a pot of vegetable stir-fry in her kitchen—broccoli, peppers, and tofu seasoned with garlic and soy sauce, an attempt to boost her energy—had sent the initial text: “Hi Dr. Wright, I’ve been feeling exhausted despite sleeping eight hours nightly, and I’ve gained 12 pounds in three months without diet changes. Lab results show TSH at 5.2 mIU/L—could this be hypothyroidism?” Her fingers trembled slightly on the keyboard, a side effect of the low energy that had forced her to cancel a client meeting earlier that day at a café on Oldham Street, where she usually brainstormed over flat whites with colleagues. Traditional messaging apps like WhatsApp had been her norm for quick chats with friends across Europe, but they lacked the precision needed for health discussions—no automatic safeguards for medical accuracy, no way to embed formal agreements without awkward file shares or external links that often glitched during her spotty Wi-Fi. Discovering StrongBody AI via a wellness podcast she listened to while jogging along the Ashton Canal—where she clocked 3 miles at a sluggish 12-minute pace—she signed up as a buyer, selecting endocrine health and holistic nutrition, leading the system to pair her with Amelia, whose profile detailed success in stabilizing hormone levels for 180 remote patients, reducing fatigue scores by an average of 45% over eight weeks through personalized protocols.
Amelia typed back swiftly: “Hello Sofia, thank you for sharing your labs—that TSH level suggests subclinical hypothyroidism, common in women your age, especially with stress factors like long work hours. Have you noticed cold sensitivity or dry skin?” The response landed in Sofia’s chat window instantly, the platform’s real-time delivery ensuring no delays, unlike standard apps where notifications piled up unpredictably. Sofia replied while plating her dinner, the steam rising as she sat at her wooden dining table cluttered with sketchpads: “Yes, hands always cold, and my skin’s been flaky despite moisturizing twice daily with a 2% hyaluronic acid serum.” What set this exchange apart was MultiMe Chat’s underlying architecture—not just a conduit for words, but a sophisticated tool weaving in AI-driven enhancements that elevated it beyond everyday messengers like Telegram or iMessage, where conversations remained siloed without deeper functional ties to professional workflows.
Sensing the need for nuance, Amelia switched to voice messaging, recording a 50-second clip: “Sofia, let’s discuss this further. Based on your symptoms, I recommend starting with a detailed history—any family thyroid issues? We can outline a plan including selenium supplements, shown to improve TSH by 20% in a cohort of 150 similar cases.” Her voice, steady and empathetic, carried the authority from her hospital rounds that morning, where she had adjusted dosages for a 45-year-old patient post-surgery, leading to a 30% energy rebound within two weeks. Sending the note, MultiMe Chat’s AI Voice Translate activated seamlessly, though unnecessary here as both used English; it stood ready to convert to Sofia’s occasional Spanish phrases from her bilingual upbringing, ensuring terms like “hypothyroidism” translated precisely as “hipotiroidismo” without losing clinical intent. Sofia played it through her Bluetooth speaker while eating, the audio crisp and accompanied by an auto-generated text transcript for reference— a feature absent in conventional apps, where voice notes often required manual replay and risked mishearing critical details like lab values.
Inspired, Sofia recorded her response: “My mother had Hashimoto’s, diagnosed at 42 in Barcelona. Energy dips hit hardest after deadlines, like last week’s campaign launch that kept me up till 2 AM.” The platform translated any subtle accents or idioms in real-time, delivering to Amelia as clear playback, fostering a connection that felt as intimate as an in-person consult in her Chicago clinic, where she typically saw 20 patients daily. This bidirectional voice capability, supporting 194 languages, aligned with international telehealth standards from bodies like the International Medical Informatics Association, emphasizing accurate cross-cultural communication to prevent errors—such as a 15% misdiagnosis rate in non-translated consultations, per global health data. Unlike basic apps where users fumbled with third-party translators, MultiMe Chat integrated it natively, allowing Amelia to hear Sofia’s original tone for emotional cues while reading a flawless overlay.
As details emerged—Sofia describing mood swings affecting her creativity, leading to a 25% drop in project output over six months—Amelia pivoted to action. Within the same thread, she composed an Offer, a customizable agreement appearing as an embedded card: “Sofia, here’s a tailored four-week plan: bi-weekly voice sessions, daily supplement tracking via shared logs, and nutrition adjustments like adding 200mcg selenium, which normalized TSH in 70% of my 120 comparable patients. Cost: $280, with escrow for security.” The card outlined milestones—week one lab review, week two dietary tweaks including recipes for thyroid-boosting smoothies with Brazil nuts—and payment via PayPal, funds held until completion. Sofia, finishing her meal and rinsing plates in the sink, reviewed it without exiting the chat; no clunky redirects like in Slack integrations, where business elements felt bolted-on and prone to security lapses.
Accepting with a click, Sofia confirmed via OTP from her banking app, the transaction logging instantly—escrow activating to protect both, per standards akin to those in the UK’s NHS Digital for secure health transactions. Amelia saw the green confirmation: “Great, Sofia. Let’s schedule our first voice call for tomorrow at 7 PM your time—I’ll send a link.” This fusion of chat and commerce distinguished MultiMe Chat, turning it into a business operations hub where offers served as dynamic contracts, trackable with progress markers—far from ordinary messengers’ static texts, enabling Amelia to monitor adherence like Sofia’s supplement intake, logged as “Day 3: 200mcg taken, energy up 10%.”
Their first call unfolded via the chat’s video feature; Amelia from her study, Sofia from her living room couch with a throw blanket, discussing symptoms in depth. “Tell me about your daily routine,” Amelia voiced, and Sofia detailed her 9 AM starts with black coffee, leading to mid-afternoon crashes. Post-call, Amelia sent a voice note: “Incorporate iodine-rich foods like yogurt—studies on 200 women showed 35% symptom relief.” Sofia responded with progress: “Tried the smoothie; felt alert during a 90-minute design session.” The chat archived everything, creating a transparent trail for international compliance, reducing dispute risks by 40% compared to unlogged apps.
Week two brought adjustments; Sofia messaged about a flare-up after a stressful pitch to 10 clients in a virtual room, her TSH creeping to 5.5. Amelia revised the Offer in-chat: “$50 add-on for stress modules, including guided meditations proven to lower cortisol by 28% in 100 professionals.” Sofia accepted mid-commute on the Metrolink tram, funds escrowed, and received audios immediately—playing one during lunch at a falafel spot in Piccadilly Gardens, noting immediate calm.
By week three, Sofia’s energy stabilized; she completed a major project ahead of schedule, crediting the plan’s integration—weight down 5 pounds, TSH at 4.1. “This chat makes follow-up effortless,” she voiced, and Amelia replied: “Your logs show consistency; escrow releases upon confirmation.” No external emails needed, unlike Messenger’s chaos.
Amelia’s other chats echoed this; a New York banker, Tom, 45, from Midtown, discussed diabetes management, voice translates handling his occasional Mandarin from business trips. Offers for monitoring at $300 led to a 20% A1C drop over six weeks.
In Boston, a yoga instructor, Lena, 41, collaborated with UK nutritionists via group chats, offers for joint programs yielding 50 client improvements in wellness scores.
Sofia’s journey culminated in full remission symptoms, her design output up 40%, as she strolled Manchester’s streets with renewed vigor. MultiMe Chat’s blend of real-time translate, embedded deals, and progress tracking set it as a pinnacle for global health dialogues, bridging Chicago and Manchester seamlessly.
Further afield, a Seattle therapist, Mark, 50, used it for mental health sessions with London clients, voice features ensuring empathy across accents, offers securing ongoing therapy with 60% retention rates.
Amelia reflected during a walk in Lincoln Park, snow crunching underfoot, how the tool’s innovations fostered trust, each thread a secure, multifunctional lifeline.
In Philadelphia, a dermatologist, Sarah, 48, chatted with European patients on skin regimens, translates clarifying terms like “eczema,” offers for treatments boosting satisfaction by 55%.
The platform’s essence: not just chat, but a robust, standard-compliant ecosystem for y tế interactions, where every voice, offer, and update propelled outcomes like Sofia’s vibrant return to creativity.
Detailed Guide To Create Buyer Account On StrongBody AI
To start, create a Buyer account on StrongBody AI. Guide: 1. Access website. 2. Click “Sign Up”. 3. Enter email, password. 4. Confirm OTP email. 5. Select interests (yoga, cardiology), system matching sends notifications. 6. Browse and transact. Register now for free initial consultation!
Overview of StrongBody AI
StrongBody AI is a platform connecting services and products in the fields of health, proactive health care, and mental health, operating at the official and sole address: https://strongbody.ai. The platform connects real doctors, real pharmacists, and real proactive health care experts (sellers) with users (buyers) worldwide, allowing sellers to provide remote/on-site consultations, online training, sell related products, post blogs to build credibility, and proactively contact potential customers via Active Message. Buyers can send requests, place orders, receive offers, and build personal care teams. The platform automatically matches based on expertise, supports payments via Stripe/Paypal (over 200 countries). With tens of millions of users from the US, UK, EU, Canada, and others, the platform generates thousands of daily requests, helping sellers reach high-income customers and buyers easily find suitable real experts.
Operating Model and Capabilities
Not a scheduling platform
StrongBody AI is where sellers receive requests from buyers, proactively send offers, conduct direct transactions via chat, offer acceptance, and payment. This pioneering feature provides initiative and maximum convenience for both sides, suitable for real-world health care transactions – something no other platform offers.
Not a medical tool / AI
StrongBody AI is a human connection platform, enabling users to connect with real, verified healthcare professionals who hold valid qualifications and proven professional experience from countries around the world.
All consultations and information exchanges take place directly between users and real human experts, via B-Messenger chat or third-party communication tools such as Telegram, Zoom, or phone calls.
StrongBody AI only facilitates connections, payment processing, and comparison tools; it does not interfere in consultation content, professional judgment, medical decisions, or service delivery. All healthcare-related discussions and decisions are made exclusively between users and real licensed professionals.
User Base
StrongBody AI serves tens of millions of members from the US, UK, EU, Canada, Australia, Vietnam, Brazil, India, and many other countries (including extended networks such as Ghana and Kenya). Tens of thousands of new users register daily in buyer and seller roles, forming a global network of real service providers and real users.
Secure Payments
The platform integrates Stripe and PayPal, supporting more than 50 currencies. StrongBody AI does not store card information; all payment data is securely handled by Stripe or PayPal with OTP verification. Sellers can withdraw funds (except currency conversion fees) within 30 minutes to their real bank accounts. Platform fees are 20% for sellers and 10% for buyers (clearly displayed in service pricing).
Limitations of Liability
StrongBody AI acts solely as an intermediary connection platform and does not participate in or take responsibility for consultation content, service or product quality, medical decisions, or agreements made between buyers and sellers.
All consultations, guidance, and healthcare-related decisions are carried out exclusively between buyers and real human professionals. StrongBody AI is not a medical provider and does not guarantee treatment outcomes.
Benefits
For sellers:
Access high-income global customers (US, EU, etc.), increase income without marketing or technical expertise, build a personal brand, monetize spare time, and contribute professional value to global community health as real experts serving real users.
For buyers:
Access a wide selection of reputable real professionals at reasonable costs, avoid long waiting times, easily find suitable experts, benefit from secure payments, and overcome language barriers.
AI Disclaimer
The term “AI” in StrongBody AI refers to the use of artificial intelligence technologies for platform optimization purposes only, including user matching, service recommendations, content support, language translation, and workflow automation.
StrongBody AI does not use artificial intelligence to provide medical diagnosis, medical advice, treatment decisions, or clinical judgment.
Artificial intelligence on the platform does not replace licensed healthcare professionals and does not participate in medical decision-making.
All healthcare-related consultations and decisions are made solely by real human professionals and users.
