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Enterprise AI · Built, governed, owned

Enterprise AI,engineered to be trusted.

We build and deploy production AI systems, govern them to the standard your regulators expect, and train your people to own them — for leaders who need AI that performs on day one and holds up on day one thousand.

Production systems deployed
35+
Regulated enterprises served
9
Median time from kickoff to production
<90days
Audit findings on systems we govern
0

What we do

We don’t hand over decks. We ship systems — and the capability to run them.

01 Build & deploy

Production AI systems

Agents that resolve cases, copilots inside the tools your teams already use, and automation wired into your systems of record. Our engineers embed with your teams and stay accountable for the outcome in production — not the demo.

  • Agentic workflows & copilots
  • Retrieval over enterprise data
  • Evaluation & monitoring
  • Integration with core systems

02 Govern

Governance & risk

Every system we ship comes with the controls to defend it: human oversight where judgment matters, evaluation you can audit, and documentation mapped to the frameworks your regulators use.

  • Model risk management
  • Guardrails & human-in-the-loop design
  • Security & data privacy
  • EU AI Act · NIST AI RMF · SR 11-7 · HIPAA

03 Enable

Training & enablement

Capability that stays when we leave. Briefings that sharpen executive judgment, hands-on programs that turn your engineers into AI builders, and playbooks your teams will actually use.

  • Executive & board education
  • Engineering upskilling
  • Operating model & playbooks
  • AI champions programs

How we work

A path from first question to systems you own.

  1. 01

    Diagnose

    Two weeks to find where AI will genuinely pay. We map workflows, data and risk, and agree on the measure of success before any code is written.

  2. 02

    Build

    Forward-deployed engineers put a working system into a real workflow, evaluated against your own data from the first week.

  3. 03

    Govern

    Controls, monitoring and documentation are built in, not bolted on — so the system clears risk review the first time.

  4. 04

    Transfer

    We train the team that will run it, hand over the playbooks and step back. Success is the day you no longer need us.

We measure ourselves by what runs in production — and by what your people can do after we leave.

Qbit Space operating principle

Industries

Where the stakes are highest.

Financial services

Underwriting, fraud, claims and client service — built to model-risk standards from the first line of code.

Healthcare & life sciences

Clinical documentation, prior authorization and research workflows, with patient data protected end to end.

Industrial & energy

Maintenance, supply chain and field operations — AI that holds up on the plant floor and out in the field.

And across the enterprise: finance, legal, HR and operations teams in any sector.

Selected work

Measured in outcomes, not activity.

Financial services

62%

faster claims triage

An agentic triage system that routes and pre-assesses claims, with every recommendation reviewed by an adjuster and logged for audit.

A top-20 US insurer

Healthcare

4.5 hrs

returned to each clinician weekly

Ambient documentation drafted inside the EHR, governed under HIPAA, with clinician sign-off on every note.

A regional health system

Industrial

30%

less unplanned downtime

A maintenance copilot for plant technicians, grounded in twelve years of work orders and equipment manuals.

A global manufacturer

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Tell us the decision you’re trying to make.

We’ll give you a straight answer on whether AI is the right tool — and what it would take to get it into production.