Strategy
Choose the AI features your customers will rely on, ranking product and platform use cases by customer value, build effort and risk so engineering commits to a sequence.
Ship AI features your customers rely on. Coditas engineers the agents, integrations and data pipelines behind them, and you own the result.

Choose the AI features your customers will rely on, ranking product and platform use cases by customer value, build effort and risk so engineering commits to a sequence.
Give every AI feature an owner and an operating routine, with product, engineering and support teams agreeing who monitors, who approves and who responds when an agent acts.
Build interoperable pipelines over FHIR, HL7 and X12, standardizing exchange and adding quality checks so teams see a feed change before a customer does.
Give every agent the context of your platform, linking standards, implementation guides, runbooks and customer configurations, so each answer and action traces to its source.
Ship AI features faster with agents and AI-augmented engineering, and offer every industry solution as a white-label foundation inside your product.
Revenue
Recover the payer underpayments and denials you never see.
Risk and value-based care
Perform in every value-based contract, and defend the numbers.
Genetics and cancer risk
Find the patients who meet criteria for genetic evaluation.
Infusion and medication safety
Turn smart-pump telemetry into safety you can prove.
Connected therapy
Monitor every patient, automate the record, defend every claim.
Bring the requirement. We will deliver a working solution that your team owns, in your environment.
~1 hour
Decision turnaround, down from 2 days
78%
Fewer appeals, from 45 to 10 per 100 cases
6.4 min
Median time from inbound file to created case, down from 3 hours
A US health technology company needed its utilization management platform to move from faxed intake and manual criteria checks to production-grade AI. Coditas designed and built it end to end, with a clinician deciding every case.
Read Case StudyA 90% success rate in early detection of cognitive decline, a 60% improvement in medication adherence, and pilot to production in under 30 days.
Read Case StudyA US digital health company's AI coaching: about 90% lower token usage and responses in under 3 seconds, down from about 10.
Read Case Study




AI in healthcare demands more than technology. It requires trust, security, and deep domain understanding. Coditas brought all three together, helping us move faster while maintaining the rigor needed for clinical and patient-focused innovation.

Bhupesh Nadkarni
Head, Healthcare
We build it. You own it.
