Every OneDose agent — Concierge, Nurse, Teller, Care Taker — runs on PharmaEye, the context layer that means your hospital never explains itself to an AI twice. And it’s not just ours: any AI tool you adopt can plug into it.
Post-discharge follow-up, adherence, refills, intake, inbound calls and prior authorization — agentic AI for the medication journey, inside the PMS, EMR and care workflows you already use.
OneDose is the latest healthcare platform from founder Deepesh Rajpal, after Lifcare, EyeCare Leaders and PharmaLlama — pharmacy, practice and care infrastructure shipped in production, with real patients and clinics on the other end.
Meet the founderOne of India’s first subscription pharmacies for chronic patients. Scaled to 100K+ recurring patients before consolidation.
Practice and revenue-cycle technology for US eye-care clinics — the same problem shape as OneDose, in a different specialty and a different regulatory regime.
Bangalore-based digital pharmacy. Flipkart entered talks to acquihire it in 2023 — the coverage is linked below.
An AI care workforce for the medication journey, running on PharmaEye inside the systems hospitals and pharmacies already have.
PharmaEye is the context layer OneDose’s agents run on: every channel resolves into one patient record, checks run before anything is written back, and anything clinical escalates to a human with the full history attached.
No model is trained on your data. PharmaEye is memory and retrieval — the reason six agents behave like one workforce instead of six tools that each know a third of the story.
Voice, e-script, fax, email, image and WhatsApp resolve into a single patient record. No format gets its own queue, and no channel gets its own version of the truth.
Dose, interaction, formulary and prior-authorization checks run against the full record before anything reaches your PMS — so a correction is not something your team makes later.
The voice agent already knows what the follow-up agent asked yesterday. The patient does not repeat themselves, and the care team does not read six histories.
Low-confidence cases and anything clinical route to a pharmacist or clinician with the full context attached. The agents collect and escalate; the clinician decides.
Every AI tool a hospital adopts rebuilds the same connections to the same systems, and still arrives knowing nothing. PharmaEye sits in between: your systems keep sending what they already send, in the format they already send it, and each tool reads one context instead of building its own.
That is the difference between 20 integrations and 9 — and between the next tool costing 5 more or 1.
What it does not do: it does not change your systems, and it does not train on what they send. PharmaEye remembers your patients — it does not learn from them.
Map it against your systemsTrusted by hospital systems,
pharmacy chains and digital health partners
Tell us which one keeps you up at night — we’ll show you exactly the team member built to fix it, live.
“Our refill queue is always the bottleneck.”
A refill running end to end — request ingested in whatever format it arrived, validated against the record, and only the exceptions reaching a pharmacist.
“Our doctors spend more time on notes than on patients.”
A consultation turned into a structured note the clinician reviews and signs — rather than a transcript somebody has to rewrite afterwards.
“We’re worried about medication errors on the ward.”
Dose, interaction and formulary checks running against the full patient record before anything is written back — so a catch is not something the ward makes later.
“Patients go quiet after discharge until something goes wrong.”
Day-1, Day-7, Day-14 and Day-30 check-ins built from the discharge summary, with the answers on the chart and escalation on signal rather than on schedule.
“Claims sit in review for days, and TPAs keep asking why.”
A prior authorization assembled from the clinical record, submitted in the payer’s format, and chased to a decision — with denials routed to a human, reasoning attached.
“Our call centre can’t keep up during peak hours.”
Inbound calls answered on the first ring, the caller verified before anything is disclosed, and every clinical question handed to a pharmacist with the context attached.
None of these quite it? Tell us the version you actually have — describe it in your own words.
Five moments from production deployments — captured, not staged. Voice intake turning into a structured script. The reasoning step. The agent calling a patient back. Continuity care closing the loop.
Every script captured, reasoned about, and dispensed — with a pharmacist still in the loop.
OneDose is the operating layer for medication and continuity care. A coordinated fabric of specialized AI agents — voice, refill, intake, adherence, follow-up — all running on PharmaEye: one patient context, one audit log.
Hospitals deploy it for closed-loop medication management. Retail pharmacies deploy it to handle 70%+ of inbound work. Care teams deploy it to keep patients adherent long after they leave the facility.
Voice, fax/email, e-script, image, WhatsApp — every prescription enters one structured pipeline.
PharmaEye validates dose, interactions, formulary and prior-auth against the patient’s full record — before anything reaches your PMS.
Refills processed, follow-ups scheduled, claims submitted, patients tracked — end-to-end, not just suggested.
The agent finishes the task and writes it back. Not a suggestion queue for your team to clear later.
Tracks every patient post-discharge: adherence, side-effects, escalation to a clinician on signal.
Drops into your PMS, EMR, IVR, ABDM and dispensing hardware. No rip-and-replace.
HIPAA, SOC 2 Type II, end-to-end encryption, full audit trail on every agent action.
Each agent has its own model stack, tools and guardrails — tuned for one job, evaluated against pharmacist-graded benchmarks, and all running on PharmaEye so every one of them works from the same patient record.
Picks up every call, never holds a line.
A pharmacy tech that never sleeps.
Clean structured data from messy inputs.
Keeps patients on plan after they leave.
Closes the loop on every discharge.
Fights paperwork so you don’t have to.
Every patient gets a programmatic follow-up plan — voice, SMS, in-app — driven by their condition, prescription and risk profile. Care teams only see what matters, when it matters.
OneDose ingests the discharge summary, parses the prescription, schedules the next 30 days of follow-up touchpoints automatically.
Patient gets a call from the Voice agent confirming pickup, dose, schedule and side-effect awareness — in their preferred language.
Structured check-in via SMS or call. PROMs collected. Adherence score updated. Drift on any med flagged in real time.
Vitals reviewed if connected. Symptoms triaged. Care manager only paged on actual signal — no alert fatigue.
Refill window predicted before stockout. Re-admission risk scored. High-risk patients escalated with full context.
OneDose runs natively inside your pharmacy management system. Voice agents pick up inbound, refill agents work the queue, intake agents structure every script — your team handles the exceptions.
Refill status. Pickup times. Insurance and copay. Store hours. The agent verifies the patient against PMS in real time and routes anything clinical to a pharmacist.
Faxes/emails, e-scripts, photos, handwritten notes — the intake agent extracts, validates, and writes directly into your PMS with full provenance.
Native integrations with the systems you already use. Read/write, real-time, with row-level audit trails. No CSVs. No middleware shims.
Cloud-hosted. Plug in your phone tree and PMS credentials. Pilot in one location, scale to a fleet.
Closed-loop verification across prescribing → dispensing → administration.
Refills, hours, insurance, pickup — without ever putting a patient on hold.
Pharmacists review the exceptions; the agent handles the queue.
Hospitals run leaner with automated dispensing and inventory forecasting.
Aggregated from deployments across hospital systems, retail pharmacy chains and digital health partners.
OneDose is built to work alongside the EMRs, pharmacy systems, IVRs and messaging channels care teams already run — rather than replacing them. Compliance and audit trails are not an afterthought; they ship with every agent.
Integration depth varies by system and region. Ask us what’s live for your estate.
“OneDose feels like hiring an entire shift of pharmacy techs and a care coordinator — except they never sleep, never miss a refill, and write everything back into our PMS. We took 50% of inbound calls off the queue in the first three weeks.”
“We retired three legacy bed-side trolleys in the first quarter.”
“Refill queue was always our bottleneck. It’s simply not anymore.”
“We finally have eyes on Day-7 and Day-30, not just discharge day.”
Yes. OneDose is HIPAA compliant and SOC 2 Type II certified. All PHI is encrypted in transit and at rest, with row-level audit logs on every agent action. We sign BAAs as standard.
Most pharmacies are live in 5–10 business days. We connect to your PMS, port the inbound number, and pilot at one location before rolling out to the rest of your fleet.
OneDose is built to read and write against the pharmacy management system you already run, including Marg, India’s most widely deployed pharmacy ERP. Integration depth varies by system and region — ask us what is live for your estate, and we will confirm it in writing before you commit to anything.
Every agent runs with explicit guardrails. Clinical questions, low-confidence cases and edge scenarios are routed to a human pharmacist or care manager with full call context — never silently failed.
Yes. The continuity care suite manages day-1, day-7, day-14 and day-30 follow-ups, captures PROMs, scores adherence and re-admission risk, and escalates to a care manager only on real signal.
We price per pharmacy location for retail and per bed for hospitals, with volume tiers and an outcome-linked component. Talk to us for a tailored quote.
30 minutes on a live call. We’ll spin up the agents on a sample of your scripts and call flows and show you exactly what would change on day one.
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