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Applied AI engineering for regulated enterprises

Production AI, which you can trust.

Better, cheaper and safer agents. Fully compliant. Zero lockin.

Built forFinancial servicesHealthcarePublic sectorSovereign entities
The problem

Agents never leave the pilot!

Before a regulated enterprise can ship AI, someone has to answer for its performance, its compliance, its decisions, and its cost. Today, nobody does.

01Performance

What’s the success rate?

80% or 99%?Hard cases or easy ones?My test set or the vendor’s?
02Compliance

Is it compliant?

Data privacy?Disclosure?Fair treatment?
03AUDITABILITY

Why did it decide this one case?

What did the customer say?Which policy was in force?Did a human review it?
04Cost

What does one outcome cost?

Cost per outcome?Frontier required vs SLM?What happens when model upgrades?
HOW WE SOLVE IT

Evalbench: The four steps of trust.

Purpose-built evaluation loops, run before launch and continuously after. This is how every question finally gets an answer.

Synthesised from industry and process context, production data, policy docs, and past decisions

Test-set generation1,740 cases
Industry & process contextProduction dataPolicy docsPast decisions
synthesize
Typical cases1,240
Edge cases320
Adversarial180
WHAT WE DELIVER

A governed AI stack.

No black boxes. No lab lock-in. Every layer runs inside your boundary and proves its own decisions.

01

In-boundary deployment

Workflows run on your infrastructure. Your proprietary data never crosses the boundary.

02

Model orchestration

A swappable model layer with no hard alignment to any lab. Tasks are routed by complexity to SLM and frontier. Upgrades are seamless.

03

Evalbench

The proprietary spine that scores every decision against your own evals - delivering what works for you, not just for benchmarks

04

Production telemetry

Unit-level observability in production, feeding continuous improvement loops and building your core asset for future model training

What we have built

Shipped into production, across regulated sectors.

Government Department

Benchmarking intelligence for education strategy

Leadership needed defensible analytics across a sprawling global data estate. We delivered an AI analyst that turns raw institutional data into instant narrative insight.

What we built

  • 01Unified institution profiles with performance intelligence
  • 02Advanced peer comparison and strategic benchmarking
  • 03Longitudinal trend analysis with instant narrative insight

Outcomes

5000+
Unstructured documents processed
10 year
Longitudinal data analysed
150+
Metrics covered
Top 50 Global University

A multilingual voice agent for admissions

Prospective students needed guidance around the clock, in their own language. We built a human-like voice agent for the entire admissions journey.

What we built

  • 01Human-like multilingual voice conversations
  • 02Guidance across programs, scholarships, and campus life
  • 03Scalable, always-on support with global reach

Outcomes

24/7
Always-available support
Multilingual
Conversations in the applicant’s language
Instant
Responses at global scale
Home Loan Aggregator

AI agent for increased hiring velocity

Field-sales headcount was the ceiling on revenue, and screening interviews were the bottleneck. We rebuilt the pipeline around agentic AI.

What we built

  • 01Intelligent shortlisting on a high-performer trait model
  • 02AI voice L1 interviews that score and flag candidates
  • 03Self-improving agent with feedback loops from on-job performance

Outcomes

30%
Faster time-to-first-interview
40%
Of L1 interviews now fully automated
25%
More roles closed per recruiter
Top 3 Indian Insurance Company

AI co-worker for privacy teams

Privacy teams were buried in manual journey mapping and documentation while AI governance risk kept rising. We embedded an AI co-worker across privacy workflows

What we built

  • 01AI agent for journey and data-flow mapping
  • 02AI first Consent Management and Records of Processing Activities
  • 03Continuous risk assessments with structured governance

Outcomes

3×
Faster rollout of the privacy tool
40%
Less manual effort in compliance workflows
HOW WE ENGAGE

Embedded engineers, Fixed-scope sprints.

Our forward-deployed engineers embed with your teams to build agentic workflows on your infra — then hand over and exit on defined criteria.

  1. Discover01

    Embed & map

    FDEs embed with your teams to find the workflows where agentic AI shifts the unit economics.

  2. Build02

    Build & orchestrate

    Workflows run on your infra. Evalbench picks the model; SLMs are fine-tuned only where warranted.

  3. Prove03

    Test & adopt

    Test-and-update cycles run against every capability upgrade, driving adoption on real feedback.

  4. Exit04

    Hand over & leave

    You keep the workflows, a trained team, and Evalbench standing as your in-house eval layer.

Build with us

Get your agents out of the pilot.

Bring us one workflow. We'll walk it from discovery to in-boundary deployment — auditable, compliant, and built to finish.