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Solutions · Enterprise AI teamsGoverned, auditable, private

Infrastructure for enterprise AI data operations.

Enterprise AI data work carries obligations that consumer tooling was never built for: who may see the data, who did the work, what was decided, and whether any of it can be shown to somebody asking afterwards.

Largwit is built as the operating environment for that kind of program.

Talk to usSecurity approach
The obligations it is built for
Who may see
Access by role and by project
Who did the work
Recorded, with their standing
What was decided
Reviewed, escalated, traceable
Shown afterwards
From the record, not from memory
01Governance

Governance as part of the operation, not a report about it.

Policy, access boundaries and operational controls are administered in the same environment the work runs in, so the state of a program’s governance is read off the program rather than assembled for a review.

Security approachRequest security overview
GovernanceProject policy, access boundaries and operational controls administered in one environment.
Controlled accessWhat a person can see and do follows their role and the projects they are on.
Sensitive dataData handling, media access and retention governed to the requirements the work is subject to.
Internal workforcesYour own teams coordinated with qualifications and availability recorded where the work is.
Vendor coordinationExternal providers working inside the same operating layer and the same oversight.
AuditabilitySignificant actions recorded so a program can be reconstructed rather than recalled.
02Configuration

Configured to the program, not to the tool.

Enterprise AI data work rarely fits a standard task type. The interface contributors see, the fields they complete, the evidence they must supply and the quality controls the work passes through are configured per program.

Project configurations are reviewed and approved before a program opens to anyone.

Supported workloads
Standing a program upapproved before it opens
  1. 01The specification the program is held to
  2. 02The interface and evidence its work requires
  3. 03The controls it passes through
  4. 04Review and approval
Open to the people who will run it
03Oversight

Know the state of the program without asking for a status update.

Progress, acceptance, rework and delivery health are computed from production activity and reported per program, so oversight does not depend on somebody assembling a deck.

Reported per programcomputed from production
progressCompletion against the volume the program is scoped to.
acceptanceHow much work passes review the first time.
reworkWhere work is being sent back, and how often.
throughputProduction rate, computed from real activity.
forecastExpected time to completion at the current pace.
deliveryWhat has been produced, in what format, at what volume.
04Deployment

Deployment, residency and diligence are part of the engagement, not an afterthought to it.

Deployment model, data residency, access requirements, retention obligations and diligence material are handled directly as part of an enterprise engagement. Detailed security and architecture documentation is provided privately during procurement.

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05Start here

Bring us the programme you are about to build.

Largwit is deployed through direct engagement. Tell us what you are running and we will show you the platform against it, rather than against a generic demo.

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