Small senior team. Own AI platform. Reusable agents and assets — built into a compounding IP layer that improves with every engagement.
Deep engineering experience in complex SAP, Oracle, utilities, and public-sector estates. AI agents that understand, extend, refactor, test, and document — without requiring every engineer to have decades of system-specific knowledge.
Our proprietary AI platform compresses the full SDLC — from requirements analysis and solution design through code generation, testing, documentation, and deployment support. Senior engineers stay in the loop on architecture and quality.
Reusable agents, workflows, connectors, test packs, and modernization playbooks become company-owned IP. A compounding layer above generic AI — and a moat that no body-shop or dev shop can replicate.
Big systems integrators scale by adding headcount — slow, expensive, and often junior in practice. The new AI dev shops scale by generating code — fast in demos, fragile in production, with no story for legacy environments and no governance the enterprise can sign off on. The gap between them is where most serious enterprise work actually sits.
A small, senior team. A proprietary AI platform. An asset base that compounds with every engagement.
Enterprises need to move faster. Legacy estates demand judgment, context, and trust. Greenfield delivery demands production posture, not prototype quality. Most vendors solve for one and break the other.
The teams that ship enterprise outcomes pair domain expertise, senior engineering judgment, and AI leverage — and convert every delivery into reusable IP. That's the model. Most firms have one or two of the four. We built around all four.
Grounds every engagement in real business context.
Own architecture, security, and production readiness.
Streamlines the full SDLC from requirements to deployment.
Convert delivery learnings into company-owned IP.
Our proprietary AI platform isn't a slide. It's two named tools — used internally and offered to clients — that solve specific problems other AI tooling doesn't.
Claude proposes. ArchTrace decides. Every AI session is fact-checked against the architecture graph before the stop hook fires. Seven named graphs. One SPARQL surface. SARIF output for IDE-native UX.
The agents go faster. The architecture stops drifting. Compliance stops being a meeting.
Explore ArchTrace →Every epic, feature, story, and plan item traces back to the exact PRD section it came from. No orphan scope. No invented requirements. Approved plans export to Jira, Azure DevOps, Linear, and CSV/JSON.
Traceable. Validated. Human-approved. Version-aware. Ready for execution.
Explore PlanTrace →A short engagement framing: business outcome, system context, success criteria.
Production-grade software, modernization, or both — AI-accelerated, senior-engineer-owned.
Human-in-the-loop on architecture, security, and production readiness. ArchTrace and PlanTrace enforce.
Every engagement extends the proprietary asset base. Future engagements ship faster.
We don't scale with headcount. We add selectively, around senior talent and product/IP leverage.
AI accelerates delivery. Senior engineers own architecture, security, integration, testing, and production readiness.
Fewer, deeper client relationships where clients rely on us for complex, high-impact engineering outcomes — not generic volume delivery.
Start with a sentence about what you're trying to build, modernize, or unbreak. A paragraph is plenty. Name the system if you can. Or write to hello@ivbis.com. Forwarded emails get read.