85% faster
Regulatory reporting cut from days to hours
Rebuilt a reconciled regulatory reporting pipeline with full lineage — replacing fragile spreadsheets and clearing audit findings.
Keyvitse Technologies helps banks, NBFCs and capital-markets firms turn data into measurable outcomes — pairing deep financial-services domain expertise with AI delivery discipline that survives real, regulated environments.
Delivered across the modern data & cloud stack
Each capability is named specifically — no umbrella buzzwords. We lead with AI, because that is where governance and delivery discipline matter most.
Governed AI and GenAI systems that survive contact with regulated, legacy environments — not demos.
Regulatory and management reporting that reconciles to the source and stands up to audit.
Decision-grade insight pipelines that connect product, risk and customer signals into one view.
Senior practitioners embedded in your teams with flexible, budget-aware engagement models.
What “AI” actually means in delivery — four concrete sub-capabilities, each with real financial-services use cases.
Task-completing agents that route, retrieve and act inside governed workflows.
Parsing, synthesis and drafting over dense financial documents at scale.
Production ML with evaluation, monitoring and explainability built in.
Structuring messy data into reliable categories for downstream decisions.
We understand regulatory review cycles, legacy data structures and the cost of a failed transformation — so engagements are built for your environment, not a generic one.
Regulatory reporting, credit decisioning and modernisation of legacy data estates.
Scalable analytics and AI for fast-moving, data-rich lending and payments businesses.
Research automation, portfolio insight and surveillance-ready data foundations.
Claims intelligence, underwriting analytics and policy document automation.
A selection of anonymised outcomes. Client names are withheld for confidentiality; references are available under NDA.
85% faster
Rebuilt a reconciled regulatory reporting pipeline with full lineage — replacing fragile spreadsheets and clearing audit findings.
60% less manual review
Deployed a human-in-the-loop document extraction system for KYC onboarding with confidence scoring and audit trails.
3x research throughput
Built a governed RAG assistant over internal research and market data, with citations and access controls by mandate.
Capability is table stakes. What sophisticated buyers reward is the ability to deliver AI safely inside a regulated environment — so trust, evaluation and transparency are built into every engagement.
Lineage, access controls and data quality checks are part of delivery — not a later add-on.
Every model and agent ships with an evaluation harness, monitoring and clear failure handling.
Decisions, prompts and overrides are logged so risk, compliance and audit teams can verify them.
We size total cost of ownership up front — no understated estimates that unravel in delivery.
Advisory, managed delivery or embedded specialists — flexible commitment, sized to your scrutiny on cost and scope.
Strategy, architecture and roadmaps from senior practitioners who have shipped this before.
We own a defined scope end to end — from discovery to a governed production deployment.
Senior engineers and architects embedded in your teams with flexible commitment.
We're a lean team of senior practitioners serious about data and AI in financial services. If you want to work on real problems with real stakes, we'd like to hear from you.
Build and maintain production-grade data pipelines for regulated financial services clients. You'll own end-to-end delivery from ingestion to lineage-tracked serving layers.
Design and ship governed AI systems — agentic assistants, document intelligence, and production ML models — in regulated banking and financial services environments.
Define data platform strategy and architecture for enterprise clients. Lead technical decisions on modern data stack adoption, governance frameworks, and migration roadmaps.
Bridge client business needs and technical delivery. You'll translate regulatory reporting, risk, and analytics requirements into clear, executable stories for engineering teams.
Own client relationships and delivery excellence across active engagements. Prior experience in data, analytics, or AI consulting in financial services is essential.
We review every application personally — no ATS black holes.
Tell us what you're trying to achieve and the environment you operate in. We'll respond with a clear, senior point of view — not a generic pitch.