AI workforce for
ambitious enterprises.

Built for multi-hour complex workflows.

It learns how your experts get work done, then pairs AI reasoning with deterministic execution to run those workflows across your enterprise.

Backed by:

  • OpenAI
    for Startups
  • Microsoftfor Startups
  • AWS Startups
  • NVIDIA Inception Program

Leaders from:

  • USC
  • Google
  • Meta
  • Stanford University
  • McKinsey & Company
  • UC Berkeley
  • IIT
    Roorkee
  • PwC

Share confidential documents on a platform that gives you control, visibility, and trust.

Growth still runs on headcount.

The work that needs judgment can't be handed to AI agents or fixed workflows.

AI agents are powerful, but too costly and unpredictable to run real operations alone, and can take unintended actions without guardrails.

Hard-coded workflows are reliable, but take months to build and break when work hits exceptions.

Experienced people still have to bridge the gap.

IntroducingContext Labs

The operating system for your most complex work.

Turn expert judgment into operating logic.

Turn expert decisions into operating logic

Every case leaves a trail across your systems and teams: actions, handoffs, approvals, escalations and exceptions. Context links that trail to each outcome, learns why each call was made, and turns it into logic your AI agents can follow.

Turn expert decisions into operating logic. documents and expert reasoning become reusable steps.

Run that logic as hybrid workflows

AI makes only the judgment calls: reading documents, weighing exceptions and deciding what happens next. Every calculation, update and action runs on fixed rules, so the same input always gives the same result, with no hallucinations, near-zero token cost and a full audit trail.

Run that logic as hybrid workflows. Expert judgment is followed by fixed actions and an evidence-backed result.

Improve with every expert correction

When an expert flags a mistake or quietly fixes an output, Context learns why and turns it into a tested, fixed step. Workflows evolve as your processes change, getting faster, cheaper and more reliable without a rebuild.

Improve with every expert correction. an expert correction is tested, reviewed and approved before the next run.

Faster, cheaper, better.

Expert judgment becomes operating logic. Every correction makes the next workflow more reliable.

AIFor the judgment calls
CodeFor reliable execution

Across the tools your teams already use.

Context fits into your existing applications, connecting documents, decisions and actions across your teams. No rip-and-replace.

  • Google Docs
  • Google Sheets
  • Microsoft Word
  • Microsoft Teams
  • Google Drive
  • Microsoft Excel
  • Snowflake
  • SAP
  • Alloy
  • Persona
  • Socure
  • Gmail
  • ComplyAdvantage
  • Unit21
  • ServiceNow
  • Feedzai
  • Sift
  • Sardine
  • FICO
  • Stripe
  • Adyen
  • Swift
  • Slack
  • Temenos
  • Visa
  • Plaid
  • Verafin
  • FIS
  • Jack Henry
  • Abrigo
  • Salesforce
  • Mastercard

Privacy and control

Enterprise-grade security.
Control stays with you.

Built for regulated workflows. Your data stays in your environment, with zero retention—including for AI.

Deploy in your private cloud or on-premise. Keep every action logged, every role controlled, and every workflow in your hands.

Virtual private
cloud

Enterprise deployment
infrastructure

Zero data
retention

Your data,
securely encrypted

Independent
model validation

Unlike other AI tools,
Context owns the outcome.

From the first document to the final decision, Context carries work across your systems. Your team sets the boundaries, approves what matters, and stays in control.

Week 0

You approve everything

  • Read the evidence
  • Prepare a decision
  • Follow up on missing details
  • Keep your systems in sync
  • Apply your approved policies
  • Resolve routine exceptions
  • Coordinate every handoff
  • Carry the case to completion
  • Read the evidence
  • Prepare a decision
  • Read the evidence
  • Prepare a decision
  • Follow up on missing details
  • Keep your systems in sync
  • Read the evidence
  • Prepare a decision
  • Follow up on missing details
  • Keep your systems in sync
  • Apply your approved policies
  • Resolve routine exceptions
  • Read the evidence
  • Prepare a decision
  • Follow up on missing details
  • Keep your systems in sync
  • Apply your approved policies
  • Resolve routine exceptions
  • Coordinate every handoff
  • Carry the case to completion

Deployment teams
in every market.

Local teams who build it with you, then
hand it over and move to the next use case.

See the model

Learn more

Frequently asked questions

Will we need to change our existing systems?

Context fits into the applications your teams already use. We work with you to define the connections, access and deployment requirements for each workflow, including a virtual private cloud or on-premise setup.

How does Context compare with workflow builders such as n8n?

Context learns why experts make decisions, then turns that judgment into operating logic. AI handles the judgment calls while calculations, updates and actions run on fixed rules. Your team does not have to encode every exception upfront.

How does learning from experts work?

Context connects actions, handoffs, approvals and exceptions to their outcomes. It learns the reasoning behind those decisions and turns expert corrections into tested steps that agents can follow.

Which business processes can Context support?

Context is built for complex enterprise work, including banking operations, insurance and private equity. Start with a process that combines documents, decisions, approvals and work across several systems.

What controls protect our information?

Deployment options include your virtual private cloud or on-premise infrastructure. Role-based access controls and audit trails keep actions accountable. Review the security requirements for your workflow with our team before deployment.

What commitment is needed to get started?

Talk to our team about the first workflow you want to build. Scope, commercial terms and ongoing support are agreed for your deployment.

When should we expect the first results?

The rollout depends on the workflow, available evidence, required connections and your approval process. Our deployment team will help define the first use case and its delivery milestones.

How does this change the role of our team?

Your experts set the rules and handle the decisions that need their attention. Context takes on execution, while corrections help the workflow improve over time.

How are ownership and responsibilities defined?

Data ownership, workflow deliverables and operating responsibilities are set out in your agreement. Our team will walk through these with you before work begins.

What follows the initial workflow review?

We turn the selected process into operating logic, build its hybrid workflow and test it with your experts. Deployment teams help you put it into operation and move to the next use case.

The team building
the future of applied AI.