We build AI into software people use every day. It reads scanned medical files, drafts doctors’ notes, follows up with patients on WhatsApp and summarises a team’s day. Here is what is running.
Recovery journeys in English or Hindi. Worrying replies reach a clinician in minutes, and programmes are translated by AI.
Read the case studyTen-page scanned medical exams read, cross-checked and structured for a whole workforce. 99.4% agreement at about $0.08 a file.
Read the case studyDoctors just talk. The clinical note, prescription and follow-ups are drafted for them.
Read the case studyScanned occupational-health files, about ten pages per employee, are classified page by page and extracted twice, independently. Arithmetic cross-checks catch confident misreads, and any field the two reads disagree on goes to a doctor. The result: 99.4% agreement at about $0.08 a file, with the model chosen by benchmarking several.
Read the occuhealth case study
On the doctor’s phone, DoctorGo records the consultation and transcribes it in English, Hindi or Hinglish, speaker by speaker. From the transcript it drafts the SOAP note, the prescription and the follow-ups, ready for the doctor to check and sign.
Read the DoctorGo case study
Recovery programmes run on WhatsApp in English or Hindi, translated by AI and previewed message by message before they go out. A worrying reply goes straight to a clinician’s queue.
Read the SurgicalJourney case study
“Catch me up” summarises what a channel missed, and meeting summaries come with action items. Calls are transcribed in Hindi, English and Hinglish, with live captions.
Explore Eligenix
Suggested replies, help rewriting a message, and translation between Hindi and English. Each company decides which AI features its people get.
Our engineers build with Claude Code and GitHub Copilot every day. Every change is still reviewed and approved by a person.
Requirements, edge cases and a step-by-step build plan, drafted with AI and agreed with you before we write code.
Engineers write code alongside AI, so routine work that used to take days takes hours.
Each project has rules for AI assistants: our conventions and security guardrails, so suggestions fit your product.
AI drafts automated tests alongside the code, and engineers extend them.
AI flags likely problems in each change; an engineer reviews and approves it before it ships.
A working product with real users in about a month, then new modules in planned releases.
When something breaks, AI helps us read the logs, find the cause and prepare the fix.
Setup guides, runbooks and handover notes are written while we build, not after.
Tell us where the paperwork, the waiting or the repetition is. We’ll tell you honestly whether AI fixes it.
