Trusted by Enterprise & product teams across the US, UK, Europe & Singapore
Trusted by Enterprise & product teams across the US, UK, Europe & Singapore
Two things are true at once — and most teams are equipped for only one of them.
The shift from copilots that answer to agents that do — plan, call tools, query systems, complete work — is here. The teams putting agents to work over their product or their data are pulling ahead of the ones still running proofs of concept.
An agent that touches a customer, a system or a number has to clear a review. The EU AI Act, your enterprise customers' risk teams and your own board all want the same thing: governance, evidence, and a human in control where it matters.
We build for both at once — the agent, and the proof it's safe. That's the whole point of doing the data platform, the governance and the AI in one place.
of mid-market SaaS, fintech & healthtech firms aren't ready for the AI rules now arriving
of organizations feel ready to even secure agentic deployments
of governments worldwide are set to mandate responsible AI by 2026 — the US and EU included
Most aren't ready · few feel secure · the rules arrive anyway.
The full stack, one team: the pipelines that feed your data, the catalog that governs it, and the agents that act on it. Native on Databricks and Snowflake, so the AI inherits your governance instead of needing its own.
Pipelines feed it, the catalog governs it, agents act on it — one policy on every hop, whether a person or an agent is asking.
Agents that take action on your business, reading governed data in place — never a scraped copy — with guardrails, evaluation and a human in the loop. Any framework, on Agent Bricks or Cortex Agents.
Agent BricksCortex AgentsLangGraphEval gatesExplore Agentic AI →One place to decide who sees what, prove where every number came from, and know who touched it — across your data and your AI. Row and column policy, dynamic masking, column-level lineage, complete access history.
Unity CatalogHorizonLineageAudit trailExplore the platform →Scalable, tested pipelines feeding your BI, your data science and your agents from one governed source — plus the migrations off Oracle, SQL Server, Teradata and legacy ETL, cut over on evidence rather than hope.
Lakeflow · DeltaSnowparkStreamingMigrationsExplore data engineering →From a strategy roadmap to a copilot inside your SaaS to custom agents and the governance to ship them — this is where the intelligence is the deliverable. The home of our agentic copilots, and the fastest on-ramp for a growing company.
One team from the roadmap to the running system — so the thing that gets designed is the thing that can actually be governed and shipped.
Where you are, where the value is, and the highest-value first build — ranked by value and feasibility, with the data, the governance and the team it takes to get there.
Opportunity mapValue caseProduction pathExplore AI Consulting →A conversational, action-taking AI layer over your own product and APIs — multi-step tasks, what-if simulation, and every step logged. Audit-ready from day one.
Takes actionSimulationHuman-in-the-loopExplore Agentic Copilots →An open or bespoke stack, best tool for the job, on any cloud — orchestration, retrieval, tool use and multi-agent coordination, hardened with Forge, Blocks and Sentinel.
MCPMulti-agentAny cloudExplore agent development →Not everything needs an agent. Forecasting, classification, extraction, recommendation — built, evaluated against a defined quality bar and served on your data.
ForecastingExtractionEval barExplore ML Development →A nine-phase lifecycle with eight documented gates, structured on the NIST AI RMF functions — producing evidence that satisfies the EU AI Act, NIST and ISO/IEC 42001 at the same time.
Risk tieringEvidence packsGo / no-goExplore AI Governance →Deployment, tracing, online evaluation and continuous improvement — so a system that passes at launch and drifts three months later gets caught by you, not by a customer.
TracingOnline evalsDriftCostExplore ML & LLM Ops →Built on the platforms your architects already trust
When the deliverable is a working product, platform or system — not a model — this is the muscle. Product, cloud and platform engineering and IoT, delivered with an AI-native SDLC and your team approving every gate.
Roughly half the hands-on effort on drafting-heavy work — and the evidence stays intact, because a named engineer approves every gate.
Not just a copilot — the entire build. An AI-powered SDLC across discovery, design, engineering, testing and deployment, moving at AI speed with your team in control.
MVP → scaleAI-native SDLCExplore Product Engineering →The team that architects your data platform runs the cloud beneath it — no hand-off. Native across AWS, Azure and Google Cloud, right-sized continuously rather than just stood up.
MigrationFinOpsWell-architectedExplore Cloud Engineering →Provisioning, CI/CD, observability and security as a platform — self-service and guardrailed, so every team moves faster and safer by default instead of waiting on a ticket.
IaCCI/CDSREExplore Platform Engineering →Connected products end to end — firmware, connectivity, edge processing and ingestion — streaming sensor data straight into the same governed platform your agents read.
FirmwareEdge AIIngestionExplore IoT →Whether it's a copilot in your SaaS or an agent on your data platform, the trust layer is the same. Traditional security controls don't cover an agent that acts, a model that drifts, or a prompt turned against you — so every AI system we build runs a nine-phase lifecycle with eight documented gates, structured on the NIST AI RMF functions.
Classify the system against the EU AI Act and NIST AI RMF, name what it touches and who owns it, inventory the data with recorded provenance and a documented lawful basis, then set the risk tier that decides how hard the rest of the lifecycle has to work.
Verbatim from the certificate scope“Information Security Management System covering Software Development Services encompassing AI, Data & Analytics, Cloud & DevOps and Digital Engineering including supporting functions such as Finance, IT, Administration and Human Resources.”
Verify the certificate on Certipedia ↗Opens TÜV Rheinland's register in a new tab · no login, no gateRequirements, design, development, testing, code review, DevSecOps — GenAI does the lifting at every stage. Nothing merges, ships or goes live without a person putting their name to it.
Autocomplete is one stage of six. The lift is in the requirements nobody wants to write, the tests nobody wants to maintain, the review queue and the pipeline work underneath.
The AI proposes; a named engineer approves. Merges, releases and infrastructure changes never auto-pass — the loop crosses a human twice a lap by design.
Prompts, diffs, test runs and approvals are captured as the work happens, so the audit trail is a byproduct of shipping rather than a project of its own.
This is Velocity — the accelerator we run the lifecycle on.See how Velocity works →
A sample of the production AI we run today, across regulated software and data-heavy enterprises.
Focaloid built and runs a conversational voice assistant deployed across more than 70 countries — understanding and responding in the languages its users actually speak, at scale.
70+countries served by one deployed voice assistantLive in productionPlanning, tool use and sequential orchestration composed straight from the Blocks library — triage that took analysts hours now runs in minutes, with the reasoning trail kept for review.
hours → minutesfor a triage pass over the CVE backlogLive in productionA multi-agent system tracking sentiment and narrative across thousands of sources in real time — orchestration at production scale, on the same primitives that sit behind our document and finance agents.
Live in productionA pipeline in production that reads each invoice, extracts the line items and matches them against the PO automatically. Manual verification and the errors that came with it both dropped, and the finance workflow moved noticeably faster.
Live in productionGoverned pipelines feeding live BI for a large automotive supplier, plus intelligent document processing over ACORD forms and policy records — one governed estate, two very different consumers.
Live in productionA hundred and fifty people under one ISO/IEC 27001:2022-certified ISMS, thirteen years of shipping into environments where compliance and uptime were the baseline, and partnerships with the platforms your architects already chose.
The people who build your pipelines, govern your data and ship your agents are the same team. No hand-offs, no two vendors pointing at each other across the gap where trust falls through.
EU AI Act-ready, and certified to ISO/IEC 27001:2022 by TÜV Rheinland. We build the agent and the evidence it's safe together, because for our buyers the second one is what unlocks the deal.
Native on both, because the differentiating layer — our Forge · Blocks · Sentinel framework — is ours and runs on each. We meet you on the platform your architects already chose.
DatabricksSnowflakeA decade of shipping software, brought to a growing company without the enterprise-consultancy overhead. Land small, prove it, then scale — on your timeline.
No twelve-month transformation. One scoped, high-value first build — then expand on the strength of what shipped.
A 30-minute working conversation to find the highest-value first step — and whether it's a copilot, an agent or the data underneath.
One scoped build — a copilot, an agent, or a governed pipeline — shipped to production with governance in from the first line.
Evidence, evaluations and a passed review — the proof your board, your customers and the regulation ask for.
Scale across the estate — more agents, more of the platform, more of the product — on the strength of what already works.
Book a 30-minute call. Whether you need agents on your data platform, a copilot inside your SaaS, or the governed foundation underneath, we'll map the highest-value first step — and the governance to ship it with confidence.
No pitch-deck marathon. A working conversation with people who've shipped this.