
Production, not PoC
Cleared by enterprise review boards, not stuck in pilot.
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From AI agents to enterprise data platforms. Designed, built and integrated into your real workflows by one senior engineering partner
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The gap is rarely the model. It is data, integration, engineering depth and governance. If any of this sounds familiar, you need a partner, not another experiment
Fragmented data & legacy IT slow every AI initiative to a crawl.
Shortage of engineers experienced in production‑grade AI.
Unpredictable timelines and scope creep on AI projects.
Hard to integrate AI into real workflows, security & governance.
Scaling AI quietly inflates operational cost without clear ROI.
Four arguments we bring to every CIO, CTO and Chief AI Officer

Cleared by enterprise review boards, not stuck in pilot.

No black boxes, no single‑vendor lock‑in. Human‑in‑the‑loop by default.

Supplier‑spend recovery, A/B‑tested revenue lift. Every claim has a number.

No junior bench, no offshore handoff. Everyone named in the statement of work is hands‑on.
Productized foundations we deploy on client engagements. Also available as standalone enterprise platforms
Where your agents are built, governed and observed.
Build, train and orchestrate AI agents with the governance, observability and security an enterprise requires.
From documents to decisions.
Turn unstructured documents into structured data and a conversational interface to your knowledge base, with sources cited, deployable on‑premise.
Pick a project shape, scope and deployment. Get an indicative range, a team composition and a realistic duration, before the first call
Routes straight to a senior delivery lead · reply within 1 business day
Costed against the parameters above, in your inbox within one business day.
A senior delivery lead is putting the numbers together for your configuration and will email it within one business day.
From discovery and PoC to production, integration and long‑term support. One accountable senior partner: predictable delivery, no surprises.
Audit your stack, scope the problem, define success metrics.
Architecture blueprint, tooling selection, delivery roadmap.
Iterative builds with a demo every week.
Load tests, A/B validation, rollout into your systems.
Go‑live, monitoring dashboards, SLA‑backed ongoing partnership.
Five years of enterprise delivery, concentrated in the sectors where data and AI move the bottom line
Real-time fraud scoring and GenAI support (−33% per ticket)
Recommendation systems, demand forecast and pricing, in 1 500+ stores
Patented procurement AI for a Fortune 500 industrial group
Omnichannel AI operator across 5 channels, for Swaze.ai
AI speech screening for 12 000+ students, at Logopotam
Incident & ETL agents, 85% incidents auto‑processed
Production-grade tooling across LLM, ML, streaming and data platforms.
Tell us your challenge. We'll propose the right mix of AI agents, ML and data platforms, and a realistic delivery plan
We've got your message and will reply within one business day.