AI built for healthcare

Healthcare AI is only
as good as the
data behind it.

Generic AI reasons on the open internet. Ours reasons on OIP Databank®, our closed, certified healthcare data layer where official and recognized scientific sources are connected, enriched, and updated daily. Structured to eliminate noise and ensure no hallucinations.

The Tekkare answer

The data layer behind
reliable AI.

Purpose-built on OIP Databank®, our closed, certified healthcare data layer. Structured, verified, traceable by design.

01

Connected & enriched data

Our healthcare data warehouse connects 500+ official sources, structured and cross-referenced. Every dataset is enriched with metadata, giving your AI context, not just content.

What this addresses

Unverified sources. Models hallucinate when the data behind them cannot be trusted.

$67.4BAnnual losses from AI hallucinations
AllAboutAI, 2025
02

A closed, certified environment

No open web, no external noise. Your queries operate within a self-contained system: controlled inputs, traceable outputs, certified infrastructure, fewer tokens, full reproducibility.

What this addresses

Rising costs. Most teams spend more time checking AI outputs than actually using them.

$14.2KPer employee per year verifying AI outputs
Forrester, 2024
03

Broad coverage, daily updates

Harmonized and continuously updated across epidemiology, clinical trials, regulatory data, publications, RWE data from national healthcare systems, genetic data and more.

What this addresses

No data, no AI. Strong data foundations and governance are non-negotiable for AI to succeed.

68%Of AI initiatives fail due to poor data quality
ZS, 2026

Our AI agents

What AI can do when the data is right

Practical AI capabilities integrated directly into the OIP ecosystem, designed to reduce manual work and accelerate decision-making across all your teams.

LLM integration

OIP Data Connector

Query our closed, certified data layer directly from your LLM. Extract data, build projects, and generate autonomous reports in natural language, without touching the open internet.

Example use case

Build a fully traceable disease intelligence report in minutes. Sourced from official registries and scientific publications, never the open web.

Conversational assistant

OIP Copilot

A native AI assistant embedded across OIP platforms. Ask a question in natural language, get the right data and insight instantly, across 500+ sources and 2,000+ datasets.

Example use case

Ask "What's the global pipeline for HER2+ breast cancer?" and get a structured answer in seconds, pulled from our entire database of official sources.

Continuous monitoring

Alert Agent

Define your topics once. Get notified the moment something moves: a new approval, a phase change in a pipeline, a price shift, a competitive signal, an emerging trend.

Example use case

Track approvals, trial phases, and pricing changes across your therapeutic area, without monitoring it manually.

Hallucination detection

Reliability Agent

Measure factual accuracy, detect hallucinations, and continuously improve your AI reliability, using OIP's verified sources as the reference layer.

Example use case

See exactly where your AI is accurate, where it drifts, and what to fix, before it reaches your teams.

Custom Agent

Go further with a
custom agent.

We design and deploy agents tailored to your workflows, data environment, and organizational needs, built on the same certified OIP infrastructure.

Let's talk →

Automate recurring analyses

Schedule and run any repeatable workflow on fresh, certified data, without manual intervention.

Integrate into your stack

Connect OIP intelligence directly to your BI tools, dashboards, and existing reporting workflows.

Cross-functional insights

Turn data from multiple OIP sources into decisions, without switching platforms or teams.

Our commitment

Built with integrity, at every layer.

The sources we work with are official, public, and inherently GDPR-compliant. Our certifications go further, covering infrastructure security and data processes.

ISO/IEC 27001 certified

Certified by AFNOR for the design, development, and management of health data platforms, collection tools, and analysis software. Our ISMS meets the requirements of ISO/IEC 27001:2022.

See our certifications →

Independent since 2015

Self-funded and independent since day one. That independence lets us invest in long-term projects and stay aligned with our clients and our mission.

About us →

Sovereign by design

Built on open-source technology, our solution can be deployed directly on your own infrastructure. Your data stays where you decide, fully transparent and built to last.

Engaged with institutions

For years, we have engaged with public institutions and research associations to ensure our work genuinely supports their missions, reflecting a long-term commitment to the scientific community.

See our partnerships →

Our conviction

Use AI wisely.
Build a sustainable
competitive advantage.

Many organizations are now using high-power AI models for use cases that are not sufficiently framed, governed or proportionate. Costs climb, control shrinks, and organizations find themselves restricting usage at the exact moment they need to accelerate.

The question is not whether to use AI. It is to use it wisely, at the right scale, and with sustainable economics. That is exactly what a closed, certified, healthcare-native data layer delivers.

Get in touch

Let's build your AI use case

Tell us what you're working on and we'll show you how our data and AI capabilities can fit into your environment.

Contact us
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