AI that passes your security review
AI agents and platforms for banks, insurers, NBFCs and fintechs, running in your cloud with every action logged.
Tender CoPilot, live at The Manipal Group
- for a cited tender report, down from a day
- ~9 min
- tender portals watched
- 280+
- business units live
- 17
- of 3,000+ questions answered in under 50 seconds
- 95%
Over a third of what we build is for banks, insurers and fintechs.
Why BFSI pilots never ship
Four stalls we hear in every first call.
- Blocked at InfoSec review
The pilot never clears security
Runs in your cloud, every action logged
- 3 teams, 1 shared spreadsheet
The back office runs on email and Excel
One platform for every request and SLA
- Handed over to a human
The bot answers FAQs, then stops
Agents that finish the job
- Data residency: not permitted
The data can’t leave your network
Open models on your own hardware
Three ways to bring AI into financial services
Start with the one that fits where you are.
AI Strategy and Roadmap
Know where AI pays first
We rank the workflows across lending, servicing and operations worth automating first.
Agentic AI
Agents that finish the job
Servicing, tenders and back-office requests handled end to end, with people approving what matters.
Automation Platforms
One platform for the back office
Requests, SLAs and approvals on one system, so AI has clean data to act on.
Not sure where to start?
In 30 minutes, we’ll map where AI fits your organisation and what to build first.
Shipped for insurers, banks and fintechs
Pick a workflow to see it run.
Live across 17 business units
Finds tenders across 280+ portals, writes a cited report on each and answers the team’s questions in Teams.
Read the case studyLive on WhatsApp and web
Policyholders change nominees, bank details and PAN, start a loan or upload documents, inside one conversation.
Live
Every client request for a bank back office on one platform, with owners and SLAs, in place of spreadsheets.
Read the case studyOn Ukti, our voice platform
A voice agent called new SoundBox merchants to activate the device, test a payment and explain the plan, with a person on hand.
Start with one workflow, then the next
Tell us your first workflow- 01
Pick one workflow
One process, one owner and one number to move.
- 02
Build inside your walls
A forward deployed engineer joins your team. We build in your cloud or data centre.
- 03
Clear your review
InfoSec and risk see the architecture, access model and logs before launch.
- 04
Go live, then extend
The next workflow reuses the same platform, controls and audit trail.
Every action logged, in your cloud
Your cloud or your data centre
Public cloud, private cloud or on-premise, on infrastructure you control.
Models you approve
Frontier models, or open-source models such as Llama, Mistral and Sarvam on your own hardware.
An append-only audit trail
Every read, write and decision is recorded, and nothing can be edited after the fact.
People approve what matters
Agents draft, check and route. A named person signs off money and policy changes.
Audit trail append-only · in your cloudExample
- 10:42:45request-routerAssign REQ-4104 to MeeraAllowed
- 10:42:38tender-copilotAnswer Question in TeamsCited
- 10:42:31tender-copilotRead RFP 2026/118, p.6Cited
- 10:42:24A. Rao, OperationsApprove Nominee change requestApproved
- 10:42:17policy-agentUpdate Nominee change requestHeld for approval
- 10:42:10policy-agentVerify OTP to number ending 4821Allowed
- 10:42:03policy-agentRead Policy ending 7310Masked
ISO/IEC 27001 certified
Our information security management system is certified to ISO/IEC 27001. Certificate GCAI-ISMS-FP64, issued 22 September 2026, valid to 21 September 2029. SOC 2 is in progress.
Free reportThe FDE Playbook
How AI gets out of the pilot
How OpenAI, Palantir and Sarvam use forward deployed engineers to take AI from pilot to production.
Get the free playbook
As featured in
What risk teams ask us first
Can the AI run inside our own cloud or data centre?
Yes. We deploy on your public cloud, your private cloud or your own servers, on infrastructure you control. Where data residency matters, open-source models such as Llama, Mistral or Sarvam run on your own hardware, so no data goes to an outside AI provider.
Does customer data leave our environment?
Only if you decide it should. The agents, the data they read, the models and the logs can all run in your environment, and access follows the roles you already use.
How do we audit what an AI agent did?
Every read, write and decision an agent makes goes into an append-only audit trail: what it saw, what it did, which person approved it and when. Money movement and policy changes wait for a named person to approve them. Your risk and audit teams get the same trail.
Are you ISO 27001 or SOC 2 certified?
KnackLabs is certified to ISO/IEC 27001 (certificate GCAI-ISMS-FP64, issued 22 September 2026, valid to 21 September 2029). SOC 2 is in progress.
Is your AI approved by the RBI or IRDAI?
We do not hold, and do not claim, any regulator’s approval. We build to support your compliance: data stays where you decide, every action is logged, and your InfoSec and risk teams review the architecture, access model and logs before anything goes live.
Will it work with our core banking, policy admin and CRM systems?
Yes. For IndiaFirst Life, the WhatsApp and web assistant connects to policy admin, CRM, document management, payment gateways, OTP, bank account validation and loan systems. We connect to what you run today rather than asking you to replace it.
Bring the workflow your risk team blocked
An engineer replies within one business day.