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The Readiness Assessment

A 5-day engagement that maps your data, surfaces high-ROI AI candidates, and recommends a pilot — fixed price.

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Case study
Tier-1 bank cuts reconciliation 92%

Agentic reconciliation across 14 source systems — six-week pilot, full rollout in one quarter.

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New
Private AI on dedicated GPUs

Frontier-class models on isolated infrastructure — your data never leaves the perimeter.

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Latest
Field notes: agentic eval at production scale

How we ship and operate eval harnesses for systems running ten-million-plus actions a month.

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Founder
Rohit Wakode — Founder & Director

B.Tech IIT Bombay · LLB GLC Mumbai. Building intelligent enterprise systems in India since 2014.

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Industry · 02

Healthcare

Clinical documentation that captures the visit. Revenue cycles that close themselves. R&D knowledge systems that answer in seconds, not weeks.

Clinical docsRCMPatient opsR&D search

Healthcare's bottleneck is rarely clinical skill — it's documentation, revenue cycle, and finding what's already known. AI built for the clinical reality returns time to people who should be with patients, not paperwork.

We deploy with PHI handled carefully and humans firmly in the loop: AI drafts, clinicians decide. Everything runs where your governance requires it.

SectorHospitals, diagnostics, payers, health-tech
ComplianceHIPAA-aligned, PHI handled with care
DeploysOn-prem / private cloud
Entry6-week pilot
01 — What we deploy

AI that gives clinicians time back.

/ 01

Clinical documentation

Ambient and assisted documentation that captures the visit, reviewed by the clinician.

/ 02

Revenue cycle (RCM)

Coding assistance, denial prediction, and claims that close themselves.

/ 03

Patient operations

Triage, scheduling, and follow-up automation with human oversight.

/ 04

R&D knowledge

Search across protocols and literature that answers in seconds.

/ 05

Imaging workflow

Triage and workflow support around your imaging stack.

/ 06

PHI governance

Redaction, access control, and audit trails built for health data.

02 — How we engage

From first call to production.

01

Discovery

02

Pilot

03

Production

04

Operate

STEP 01

Discovery

We find the highest-burden workflow — documentation, RCM, or ops — and define clinical success criteria.

STEP 02

Pilot

Built on your data with clinicians in the loop, graded for accuracy and safety.

STEP 03

Production

Integrated with your EHR/RCM stack, with PHI controls and audit logging.

STEP 04

Operate

Ongoing support and monitoring; your clinical governance stays in charge.

03 — Where it pays

Use cases.

Clinical docsRCMPatient opsR&D searchImaging triageTrial ops
04 — Engineering

Stack & standards.

Clinical
EHR integration
Ambient capture
Coding assist
AI
Clinical NLP
Denial prediction
Knowledge search
Governance
HIPAA-aligned
PHI redaction
Access control
Audit
05 — Outcomes

What good looks like.

Hours
Back to care
Documentation and admin time returned to clinicians.
Cleaner
Claims
Fewer denials, faster cycle.
Safer
Human-in-loop
AI assists; clinicians decide.
06 — Questions

Answers, before you ask.

How is PHI protected?
PHI stays in your environment with redaction, access control, and full audit logging. Models run on-prem or in your private cloud — nothing leaves.
Does AI make clinical decisions?
No. AI drafts and assists; clinicians review and decide. Every workflow keeps a human in the loop.
Where's the fastest ROI?
Clinical documentation and revenue-cycle workflows usually return time and cash quickest, and make clean 6-week pilots.
Ready when you are

Let's talk about Healthcare.

Start with a fixed-price 5-day Readiness Assessment or a 6-week pilot. Senior engineers, measurable evals, and a system you own on handover.

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