AI your regulator can trust.

Every decision checked, every action recorded, and people in charge where it matters.

Fast to build, safe to run
Your data stays home
Ready from day one
Value you can prove

What we do

Build. Test. Sign. Run.

EvasLabs is where regulated organizations put AI agents to work: built freely in a sandbox, released with a signature, run under your rules, and proven to your auditor.

Studio

Build anything. Ship nothing ungoverned.

A visual studio where business and engineering teams build AI agents and workflows together, from a sentence or from a template.

Describe it. AI drafts it.

Write the change in plain words. The new steps appear on the canvas, marked for your review.

Only what you approved

The palette lists the models, systems and tools your organization admitted. Nothing else is reachable.

Every step under control

Pick the model and write the instructions for each step.

Test with a person in the loop

A test run pauses where a person decides, exactly as in production.

Starts on its own

Attended chat, or unattended: schedules, webhooks, files, streams, mailboxes.

Human checks where they matter

Decide where a person approves: data changes, payments above a threshold, final output.

Real code underneath

Every canvas is a LangGraph workflow your engineers can read and download.

See every change before it ships

The signer sees what was added, changed or removed against the live version, and anything loosened is flagged.

Also in StudioAgents that delegate to specialist sub-agentsWorkflows inside workflowsTested industry templatesOutput schemas enforced in productionImages, audio and documents as inputAn assistant that explains and suggestsVersions you can compareMemory you can see and delete

Explore Studio

The governed core

Every action passes one gate.

Before an agent uses a model, a tool, your documents or its memory, your rules decide: allowed, blocked, or a person decides. Every decision is recorded.

Using an AI model

Acting in a system

Reading your documents

Remembering information

EvasLabs coreyour rules decide

Allowedgoes ahead and is recorded

Blockedstopped before it happens

A person decideswaits in the Inbox

If the rules cannot be checked, the answer is no.

Fast to build, safe to run.

Your teams build and test freely in a sandbox. Only releases that an approver has signed reach production, so speed never costs you control.

Under the hood: Two segregated zones with separate databases, keys and audit trails. A signed release in your own registry is the only path between them.

Build and test freely
Test data and test keys only
An approver signs off each release

Runs only signed releases
Its own data, keys and records
Nobody can build or edit here

Nothing shared between the two
Test keys never reach production
Production keeps running on its own

Your data stays home.

EvasLabs runs on your own infrastructure, with the AI models you choose, including your own. Nothing leaves your network unless you allow it.

Under the hood: Installed with Helm on your Kubernetes. Self-hosted or cloud models, with residency rules on every call. Per-organization encryption keys held in your KMS.

Your network

SandboxWhere your teams build

Signed releaseschecked before use

ProductionWhere your customers are served

Connected to:Your company sign-inYour release storeYour mail server

Goes out only where you allow it

The AI models you chooseYour business systems

Ready from day one.

Start from workflows that already work: tested templates for banking, insurance and telecom, with approvals and safeguards in place.

Under the hood: Each template is benchmarked against a labelled test set in the Library. Using one creates your own copy, which later template versions never change.

See them by industry

Banking5

Loan origination
Fraud alert triage
KYC / AML compliance
Loan underwriting
Retail banking support

Insurance5

Claims processing
FNOL claims intake
Claims adjudication
Underwriting and quoting
Policy servicing

Telecom5

Support ticket resolution
Billing dispute resolution
Network incident triage
Churn-save support
Plan recommendation

Cross-industry5

Triage and routing
Transactional safety guard
Omni-channel supervisor
RAG with grounding check
Post-call compliance audit

Tested against labelled casesFigures and the model they were measured with are shown in the Library.

Approvals pre-wiredHuman-approval steps sit where the decision needs a person.

Your own copyInstantiating creates an independent copy; later template versions never change it.

Re-run on your modelsYour platform team can re-run the benchmarks and add its own templates.

Value you can prove.

Every live workflow shows what it delivers: hours freed, cases handled without a person, cost per case. Every figure says whether it is measured or estimated.

Under the hood: Built from Production records only. Money appears only when you set a labour rate, and is always labelled estimated.

ValueLast 90 days

Units completed12,480+18%measured

Straight-through rate71%+6 ptsmeasured

Hours freed1,930 hvs baselineestimated

AI cost per unit$0.42−9%measured

Workflows by straight-through rate

Claims intake82%

KYC review64%

Invoice matching51%

IT ticket triage38%

Governance at work

Approvals required312

Actions blocked41

Kill-switch engagements0

Illustrative figures

People stay in charge.

When your rules say a person decides, the work waits for them in one Inbox: customer consent, approvals and changes alike.

Waiting never approves anything.
Four-eyes: nobody decides their own request.
Decide from email, protected by a one-time code.

InboxWaiting for you

Operational approvalwaiting 12 min

Pay 8,400 on claim #4471Claims intake, step 5

ApproveReject

Change approvalsecond person needed

Release Claims intake v4 to Production2 new tools, 1 of them writes

Customer consentconfirmed

Customer confirms the transferIn-app chat

Illustrative example

Proof your auditor can check.

Every decision is written to a tamper-evident record that an auditor can verify on their own, without access to your systems.

Each company in your group keeps its own record
An optional copy that can never be changed
Personal data can be erased and the record still verifies

#10482Policy decisiontool call allowed9f2c…a71e

#10483Approvaldecided by an adjusterprevious 9f2c…a71e
41b0…7cd2

#10484Guardrailpersonal data maskedprevious 41b0…7cd2
c83e…0f19

#10485ReleaseClaims intake v4 appliedprevious c83e…0f19
5a6d…e204

Signed checkpointKMS / HSM

Offline verifierChain intact

See it work, screen by screen.

From a tested template to a decision in production, in eight steps. Real product screens with example data.

Sandboxsandbox.ai.bank.internal

1 of 8 · Sandbox

Start from a tested template

Pick a ready workflow for your industry instead of a blank canvas.

Services

We help you get there.

Fixed-scope engagements run by the engineers who build the platform.

2–3 weeks

Assess

An AI readiness assessment across strategy, data, governance, operating model and capability, plus a one-day workshop for your leadership.

Ask about this

6–8 weeks

Deliver

A pilot that starts from a tested industry template and ends as a signed release in your Production zone, with your approvers, policy and evidence pack.

Ask about this

ongoing

Operate

Installation support for both zones (Helm, directory, registry, KMS, model endpoints), then a retainer for new workflows, connectors and model changes.

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Works with what you already run