Evokra · Enterprise AI you can verify
Evokra · Enterprise AI

AI your enterprise can verify.

Evokra does three things: a platform that learns from your verified work, a compliance operating system for India's banks, and an engineering team that builds what neither covers.

01 · PLATFORM→
Orqestra
An AI workspace built around your business that improves with every verified outcome.
02 · BANKING COMPLIANCE→
NNiyam
Connects every RBI rule change to bank policies, controls, owners and evidence.
03 · SERVICES→
Custom Automation
Our consulting group designs, builds and runs automation for your specific processes.
Why we exist

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Three things. Nothing else.

Two products and one engineering team, held to the same standard: every output can be checked against what your business says good looks like.

01PLATFORM
Orqestra

Built around your business. Designed to improve with every verified outcome.

Reusable workflows, business context, explicit acceptance criteria and permissioned execution history combine into an operational memory: how work should happen, what success requires, and which approaches have delivered.

Reusable workflows Business context Acceptance criteria Permissioned history = Operational memory
Explore Orqestra →
Vendor invoice exceptions RUN #{{ runNo }}
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ACCEPTANCE CRITERIA
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02PRODUCT · INDIA BANKING
NNiyam

The regulatory change-to-compliance operating system for India's banks.

Every RBI circular, direction and amendment becomes structured obligations, mapped to each bank's policies, controls and owners, closed on evidence, and visible to supervisors.

RBI change→ Obligation→ Policy & control→ Owner→ Evidence→ Supervisor view
Explore Niyam →
AMENDMENT DETECTED · SAMPLE
Master Direction · Customer Service, §7.3
Complaints shall be resolved within 30 days 15 days of receipt.
OBLIGATION → MAPPED CONTROLSTATUS
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03SERVICES · CONSULTING
Custom Automation

When the process is yours alone, our engineers build it with you.

A consulting group inside Evokra. We sit with your team, define what correct means, build the automation into your systems, prove it on your real cases, and run it or hand it over.

Diagnose Build Prove Operate
Explore Custom Automation →
Engagement · Grid fault-report triage SAMPLE
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Evidence · Orqestra Enterprise Benchmark · 16 Oct 2026

We publish the grades. Including the ones we lose.

2,034 graded enterprise tasks, 12 systems, strict exact-answer grading, then a further 1,440 tasks Orqestra had never seen, against Claude Sonnet 5.5, GPT-6 Luna and OpenRouter Auto choosing from the same models.

Read the benchmark →
88.6%

accuracy on 1,440 unseen tasks, statistically level with Claude Sonnet 5.5.

60%

less spent per correct answer than Claude Sonnet 5.5 on those same tasks.

−74%

cost per correct answer as it learned from graded outcomes, accuracy steady at 82%.

0

wrong answers caused by the certified cache, while reusing 20% of help-desk answers.

One standard

Whatever we ship, four things are true of it.

01

Success is written down

Explicit acceptance criteria agreed with you before anything runs.

02

Every output traces back

To the source clause, the workflow version and the model that produced it.

03

People approve what matters

Human review on irreversible steps, policy drafts and regulator responses.

04

Your knowledge stays yours

Approvals, history and context are permissioned and retained by you.