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We solve for enterprise

Open Source First. AI Native.We solve enterprise problems with open source you own and applied AI that does the work inside it.

Enterprises do not need another black box with a renewal date. They need systems they control and agents that actually close work. Open source settles the ownership question. Applied AI settles the work question. We build on both — and hand you the keys.

Open Source
the code stays yours
Applied AI
the work, not the demo
Enterprise
your cloud, rules, audit trail
Open source applied AI
The approach

Two commitments we never trade away.

Every enterprise engagement starts the same way. The software is open source, so ownership is never a negotiation. The AI is applied — a harness of tools, context, and validation around a commodity model — so the agent does real work inside your systems, under your access rules and your audit trail.

Open source first

Ownership is not a feature you buy back later. You get the full source, and nothing about your operation changes when a vendor leaves the room.

✓ Full source code access
✓ AWS, GCP, Azure, or on-prem
✓ No surprise licensing, no lock-in

AI native

The model is a commodity; the harness is the product. Agents work inside the systems your people already use — not in a chat window beside them.

✓ Tools, context, and validation around the model
✓ Same permissions and audit trail as staff
✓ Human-in-the-loop, reversible by design

Enterprise-grade either way

Open source does not mean you are on your own. We run the boring parts — deployments, uptime, upgrades — inside your cloud account, on your terms.

✓ Managed delivery on infrastructure you own
✓ SSO, permissions, and full audit history
✓ Integrates with the systems already in place

Deep dive: Applied AI →

The proof

Where the two commitments already hold up

Not a thesis on a slide. Two enterprise domains where open source and applied AI are running in production today — healthcare first, then ERP.

Proof point 01 — Healthcare

Health Central

The hardest enterprise system we know is a hospital, and we solved it without trading away either commitment. A maximal hospital operations surface, a FHIR-native clinical record, and AI agents and workers — one platform, one login, no ETL between them. Open source, self-hostable, yours.

✓ FHIR-native clinical data you can actually move
✓ Hospital and practice operations in one platform
✓ AI agents assist clinicians; AI workers close back-office work
✓ Self-host anywhere — no vendor lock-in
Proof point 02 — Applied AI

Hydra AI and Espresso Cloud

ERP is where applied AI is easiest to measure. Describe what you need in plain language and Hydra builds it in a live ERPNext system; Espresso ships it from dev to production on your own cloud account. Weeks of implementation work become hours — with every change logged and reviewable.

Hydra AI

Applied AI for ERP. Business users and functional consultants describe the workflow; Hydra writes the scripts, fields, and configuration in a live ERPNext system.

✓ Agent that ships inside your ERP
✓ Frappe conventions enforced, no fabricated APIs
✓ Every change logged and reversible

Espresso Cloud

Managed delivery for what the agent builds. Branch previews, staging, and blue-green production deploys — all running in your own cloud account.

✓ Dev to production in one managed path
✓ Runs on your cloud, or on-prem
✓ You keep the keys
Go deeper

The thinking behind the approach

Open Source

The Fossible Enterprise: Case for Open Source

Why open source is no longer fringe — and what it means for enterprise software ownership.

Applied AI

From SaaS to Work-as-a-Service: The AI-Native Pivot

When AI sells the work instead of the seat, the unit economics and the ownership model flip.

Healthcare IT

AI + FHIR: The Future of Structured Data in Healthcare

Why FHIR is the natural substrate for AI in healthcare — and what that changes.

Start here

Bring us the enterprise problem

Healthcare, ERP, or infrastructure — the method does not change. Open source you own, applied AI that does the work, running where your enterprise already runs.