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Hiring a software engineer in Bangalore. We build identity, risk & fraud infra on India's DPI — APIs, an MCP server, a workflow builder. Decisioning is what's next. Python/FastAPI + agentic workflows in prod. 1–2 yrs. ₹12–15L. No cover letter: forms.gle/cRuimjEVyEqWqU…
What we'd be building: Identity, Risk, Fraud and Compliance for financial services, solved AI-first. We want someone as excited about those problems as we are. Apply -> forms.gle/2x8ucrSKCkfeR4…
We're hiring Software Engineer at @godeepvue, in Bangalore. We build identity, risk, fraud, and compliance infrastructure on India's digital public infrastructure. Lenders, NBFCs, fintechs, and Internet Companies use our APIs and now our MCP server and workflow to verify
If you're building agents for regulated work and have thoughts on consent-flow patterns in MCP, I'd love to talk. deepvue.ai/mcp
Status: · Live via Claude custom-connector today · OpenAI / Gemini support next · Pricing: per-check, wallet-based (same as our API)
Three early usage patterns we're seeing: · Compliance — full lifecycle (onboarding, screening, DD) by asking · Ops & support — verification checks without pinging engineering · AI Builders — wiring Deepvue into agents(chat, voice etc.) and copilots
Covered today: · KYC (DigiLocker/PAN) · KYB (GST/MCA) · PEP + sanctions + AML · Court records + FIR
Consented flows are an under-explored shape in MCP. Most discussion so far has been read-only lookups. Anything that puts a user in the loop — payment auth, KYC, health records, Account Aggregator data — needs something different. We've been calling this Agentic Compliance.
The agent has to initiate a consent request, hand control to the human, wait, then pick the verified data back up — without losing context. Getting this right in an agent runtime is the harder half of the problem.
Every existing MCP data connector — FactSet, S&P, Moody's — is server-side lookup. Data you already have rights to query. Indian KYC isn't that. Every pull needs the subject's real-time consent. That's a different architectural shape than request/response.
Background: Deepvue is compliance infrastructure used by forex, crypto, lending, and KYC teams. We've shipped KYC / KYB / AML APIs for years. The MCP server makes all of it agent-callable through Claude custom-connector. No new code — just connect Claude to Deepvue and ask.
A compliance analyst can now ask Claude to onboard an Indian business — and Claude does it end-to-end. KYC, ownership, sanctions, court records, the DigiLocker consent moment with the director. Live today via Deepvue MCP ↓ deepvue.ai/mcp #MCP #Claude
As an early-stage startup, when you are double checking your outbound lead generation strategies and suddenly you receive two inbound leads. Everyone in the team
Newton never had to cold email someone. Else, he'd be more humble about the 3rd law.
With no insecurities at all. One needs sheer guts to do this. Thanks a lot! @sgaurav Surely I am learning from the best!😁
As a founder, it is a special feeling to see people moving on to start their own ventures. On one side, you are worried about losing one of your brightest but deep down, you root for them to make it big. @SatanAtWink @LazyLearner_ and Vishakha - win!
@sgaurav @SatanAtWink Means a lot, sir!🙏
Been off for almost a week, have zero opinions on data or engineering anymore. It’s wonderful.
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