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.
Product & Technology DeliveryData Governance
Technology. Talent. Transformation.
Engineering capability that plugs into your delivery plan
Consultants, specialists and delivery pods for banks, NBFCs, FinTechs, capital-markets firms and insurers — embedded in your teams, accountable to your roadmap.
- Every engagement scoped with your delivery lead — not sold from a bench list
- Senior practitioners who scope the work stay on it through delivery
- Lineage, evaluation and audit trails built in from day one, not bolted on
- Four engagement models — sized to how your organisation actually buys
- industry segments served end-to-end
- 5industry segments served end-to-end
- capability disciplines under one account owner
- 5capability disciplines under one account owner
- engagement models, from one specialist to managed delivery
- 4engagement models, from one specialist to managed delivery
- typical life of a long-running client engagement
- 4+ yrstypical life of a long-running client engagement
Trusted by teams at
HDFC Bank
Deloitte
StatusNeo
ITC InfotechDelivered across the modern technology stack
JavaPythonReactAWSMicrosoft AzureGoogle CloudKubernetesTerraformSnowflakeDatabricksPower BIApache Spark
Capabilities
Four capabilities, one delivery standard
Each capability is named specifically — no umbrella buzzwords. We lead with AI, because that is where governance and delivery discipline matter most.
AI & Intelligent Solutions
Governed AI and GenAI systems that survive contact with regulated, legacy environments — not demos.
- Agentic & GenAI assistants
- ML models with evaluation harnesses
- RAG over governed enterprise data
- Human-in-the-loop controls
Reporting & Analytics
Regulatory and management reporting that reconciles to the source and stands up to audit.
- Regulatory & MIS reporting
- Self-serve BI & dashboards
- Semantic & metrics layers
- Data quality & lineage
Product & Data Insights
Decision-grade insight pipelines that connect product, risk and customer signals into one view.
- Customer & risk segmentation
- Behavioural analytics
- Experimentation frameworks
- Forecasting & planning
IT Resourcing & Staffing
Senior practitioners embedded in your teams with flexible, budget-aware engagement models.
- Vetted data & AI engineers
- Fractional architects & leads
- Team augmentation
- Managed pods
Inside AI & Intelligent Solutions
What “AI” actually means in delivery — four concrete sub-capabilities, each with real financial-services use cases.
Agentic AI & Assistants
Task-completing agents that route, retrieve and act inside governed workflows.
- Analyst copilots for regulatory research
- Operations agents for exception handling
- Internal knowledge assistants
GenAI & Document Intelligence
Parsing, synthesis and drafting over dense financial documents at scale.
- KYC & onboarding document extraction
- Contract & policy summarisation
- Disclosure & filing drafting support
Models & Decisioning
Production ML with evaluation, monitoring and explainability built in.
- Credit & risk scoring
- Fraud & anomaly detection
- Churn & propensity modelling
Classification & Segmentation
Structuring messy data into reliable categories for downstream decisions.
- Transaction categorisation
- Customer & portfolio segmentation
- Complaint & ticket triage
The gap we close
Four things that quietly cost BFSI teams a quarter
Most technology delivery doesn't fail on the build. It fails in the space around it — hiring lag, domain ramp-up, ownership gaps and late governance. This is where we work.
Hiring cycles move slower than roadmaps
Budget is approved, the seat stays open, and the release slips a quarter while the requisition works through its cycle.
Curated shortlists against a scoped requirement. You interview specialists matched to the role you actually need, not résumés matched to a keyword.
Generalist vendors learn your domain on your clock
Regulatory review cycles, core-banking constraints and twenty-year-old data structures are not in a generalist playbook — and the ramp-up is billed to you.
Banking, NBFC, capital-markets and insurance fluency on arrival. Our people have shipped in these environments before, so context is not a line item.
Placement is treated as the finish line
The vendor disappears after the offer letter, and performance, fit and continuity quietly become your problem to manage.
An account owner for the life of the engagement. Someone stays accountable for fit and delivery after onboarding — not just until it.
Governance arrives after the build
Pipelines and models reach review without lineage, evaluation or an audit trail — and rework lands at exactly the wrong moment.
Evaluation harness, monitoring and audit trail from day one. The same discipline runs through every engagement, not only the AI ones.
What we do
Four services, one accountable relationship
Most clients start with one and grow into the others. The account owner stays the same throughout.
Technology Consulting
Strategy, architecture review and governance design from practitioners who have shipped this before — including build-vs-buy guidance grounded in what your platform can actually absorb.
You get a decision you can defend in an architecture review board.
Staff Augmentation
Experienced, specialised technology professionals embedded into client teams — from a single specialist to a dedicated pod, scoped with your delivery lead and technically screened before you ever see a profile.
You get capacity without carrying a permanent headcount decision.
Product & Technology Delivery
Application development, reporting and data initiatives — delivered end-to-end against a fixed scope, or embedded into your existing roadmap and release train.
You get an owned outcome, not a staffed-up to-do list.
Specialized Technology Talent
Vetted professionals across engineering, cloud, data, AI and delivery management — screened for the stack and for the regulatory environment they'll be working inside.
You get someone productive in your codebase, not just qualified on paper.
How an engagement comes together
Seven steps, and someone owns every one of them
The same sequence runs whether you are adding one specialist or standing up a delivery pod.
- 01
Requirement
Role, stack, seniority and delivery context captured with your lead.
- 02
Alignment
Scope, engagement model, timeline and cost agreed up front.
- 03
Talent curation
Shortlist built against the scoped requirement, not a keyword match.
- 04
Technical screening
Hands-on evaluation by practitioners in the same discipline.
- 05
Client interview
You make the final call — always, on every profile.
- 06
Onboarding
Access, tooling and context handled so week one is productive.
- 07
Account support
An owner stays on the engagement for its full life.
The step most vendors skip is the last one. Keyvitse keeps an account owner attached after onboarding, so fit, performance and continuity stay a shared responsibility rather than quietly becoming yours.
Technology & talent disciplines
The stack financial-services organisations actually run on
Specialists and delivery teams span five disciplines. Most engagements draw on two or three of them at once.
Software Engineering
JavaPythonNode.js.NETReactAngularFull-StackMicroservicesAPI & Application Development
Core platform builds, service decomposition, integration layers.
Quality Engineering
SDETQA AutomationManual TestingAPI TestingPerformance TestingETL TestingMobile TestingQA / UAT
Release confidence in regulated, high-consequence environments.
Cloud & DevOps
AWSAzureGoogle CloudKubernetesDockerJenkinsAnsibleTerraformCI/CDInfrastructure Automation
Migration, resilience and release automation under change control.
Data & AI
Data EngineeringData AnalyticsMachine LearningAI / GenAISnowflakeDatabricksApache SparkData PipelinesBI & Visualization
Production models and pipelines with evaluation and lineage attached.
Product & Delivery
Business AnalysisProduct ManagementProject ManagementProgram ManagementDelivery ManagementProduct OwnershipAgile & Scrum
The connective layer between business intent and shipped software.
AI & data, without the governance debt
Where an engagement calls for it, we ship production models and GenAI systems with an evaluation harness, monitoring and an audit trail built in from day one — the same discipline that underpins every delivery engagement, not a separate offering.
Domain experience
We build for one environment, and we know its constraints
Regulatory review cycles, legacy data structures and the cost of a failed transformation are assumptions in our scoping — not discoveries mid-delivery.
Banking & Lending
- Core banking modernisation
- Credit decisioning
- Regulatory reporting
NBFCs & FinTech
- Collections analytics
- Alternate-data underwriting
- Fraud detection
Capital Markets & Wealth
- Research automation
- Portfolio insight
- Surveillance-ready data foundations
Insurance
- Claims intelligence
- Underwriting analytics
- Policy document automation
Engagement models
Sized to how your organisation buys
Cost and scope are agreed before work starts. No surprise re-scoping mid-delivery.
Individual / Specialist Augmentation
A single vetted specialist embedded directly into your existing delivery process.
- Vetted specialists, flexible duration
- Embedded in your existing delivery process
- Budget-aware scaling up and down
Best when a named skill gap is blocking a committed release date.
Dedicated Team / Pod
A pre-assembled unit of specialists that drops into your engineering workflows.
- Pre-vetted specialists assembled as a unit
- Embedded into your engineering workflows
- Scales with roadmap needs
Best when a whole workstream needs capacity your team can't absorb.
Managed Delivery
Most popularWe own a defined scope end to end — from discovery to a governed production deployment.
- Fixed-scope projects with outcome ownership
- Production deployment, not a prototype handover
- Knowledge transfer built into the close
Best when you want an outcome owned end-to-end against a fixed cost.
Advisory / Fractional Leadership
Strategy, architecture and roadmaps from senior practitioners who have shipped this before.
- Strategy and architecture review
- Governance design
- Build-vs-buy guidance
Best when the decision, not the capacity, is what's holding the initiative up.
Why Keyvitse
Six reasons clients keep the engagement open
Financial services focus
Domain fluency in banking, NBFC, capital-markets and insurance workflows — not a vertical dabbled in between other industries.
Senior practitioners
The people who scope the engagement stay on it through delivery. No handover to a rotating bench after the kickoff.
Flexible engagement models
From individual specialists to fixed-scope managed delivery — sized to how you buy, and resized when the roadmap shifts.
Transparent cost and scope
Both are sized up front and written down. Mid-delivery re-scoping is the exception that gets explained, not the business model.
Enterprise-ready governance
Lineage, evaluation and audit trails are part of the delivery work itself — so review cycles find a trail already in place.
Long-term partnerships
Several engagements have continued for two years or more across multiple phases — the clearest signal that the model works.
How we work inside your controls
Built to pass review, not to survive it
In regulated environments, the delivery is only finished when it clears review. We plan for that from the first sprint.
Data lineage
Traceable from source system to the number in the report.
Evaluation harness
Model and pipeline behaviour measured continuously, not once at sign-off.
Monitoring
Drift, failure and degradation surfaced before a business user finds them.
Audit trail
Decisions, versions and approvals recorded as the work happens.
Knowledge transfer
Your team can run and extend it after we step back.
Results
Evidence, not assertion
A selection of anonymised outcomes. Client names are withheld for confidentiality; references are available under NDA.
60% less manual review
GenAI document intelligence for onboarding
Deployed a human-in-the-loop document extraction system for KYC onboarding with confidence scoring and audit trails.
Data & AIRisk & Compliance
3x research throughput
Analyst copilot for investment research
Built a governed RAG assistant over internal research and market data, with citations and access controls by mandate.
Data & AICapital Markets
Careers
Join our team
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.
Senior Data Engineer
Full-timeRemote / Hybrid — India
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.
PythonSparkdbtCloud
AI / ML Engineer
Full-timeRemote / Hybrid — India
Design and ship governed AI systems — agentic assistants, document intelligence, and production ML models — in regulated banking and financial services environments.
LLMsRAGPythonML Ops
Data Architect
Contract / Full-timeRemote
Define data platform strategy and architecture for enterprise clients. Lead technical decisions on modern data stack adoption, governance frameworks, and migration roadmaps.
ArchitectureGovernanceCloudLakehouse
Business Analyst — Data & AI
Full-timeRemote / Hybrid — India
Bridge client business needs and technical delivery. You'll translate regulatory reporting, risk, and analytics requirements into clear, executable stories for engineering teams.
RequirementsFS DomainAgile
Engagement Manager
Full-timeIndia
Own client relationships and delivery excellence across active engagements. Prior experience in data, analytics, or AI consulting in financial services is essential.
Client ManagementDeliveryPre-sales
Submit your application
We review every application personally — no ATS black holes.
FAQ
Common questions
Answers to what prospective clients and candidates ask us most. Don't see yours — reach out and ask.
What does Keyvitse Technologies do?
Keyvitse Technologies provides specialised IT consultants, engineering professionals and full delivery teams to banks, NBFCs, FinTechs, capital-markets firms and insurers — people who integrate directly into your engineering, product and delivery functions. We work across four services: Technology Consulting, Staff Augmentation, Product & Technology Delivery, and Specialized Technology Talent.
What technology and talent capabilities do you offer?
Five disciplines, most engagements draw on two or three at once: Software Engineering, Quality Engineering, Cloud & DevOps, Data & AI, and Product & Delivery. Where an engagement calls for it, we ship production AI and GenAI systems with the same evaluation, monitoring and audit-trail discipline that runs through every engagement.
Which industries do you serve?
We focus on regulated financial services: banking & lending, NBFCs & FinTech, capital markets & wealth, and insurance. Regulatory review cycles, legacy data structures and the cost of a failed transformation are assumptions in our scoping, not discoveries mid-delivery.
What engagement models are available?
Four models, sized to how your organisation buys: Individual / Specialist Augmentation (a named skill gap blocking a release), Dedicated Team / Pod (a whole workstream needs capacity), Managed Delivery (an outcome owned end-to-end against a fixed cost — our most popular model), and Advisory / Fractional Leadership (when the decision, not the capacity, is what's holding things up).
How does an engagement actually come together?
Seven steps, with someone accountable for each: requirement capture, alignment on scope and cost, talent curation against the scoped requirement, technical screening by practitioners in the same discipline, a client interview where you make the final call, onboarding, and an account owner who stays on the engagement for its full life — the step most vendors skip.
How do you handle governance and compliance for regulated delivery?
Governance is built into delivery, not added afterward: data lineage traceable to source, an evaluation harness that measures model and pipeline behaviour continuously, monitoring that surfaces drift and failure early, an audit trail recorded as the work happens, and knowledge transfer so your team can run and extend it after we step back.
Do you offer staff augmentation or IT resourcing?
Yes — it's one of our core services. We supply vetted specialists across software engineering, quality engineering, cloud & DevOps, data & AI, and product & delivery, technically screened before you see a profile and embedded directly into your teams, from a single specialist to a dedicated pod.
How do I get in touch or start a project?
Email info@keyvitse.in or use the contact form on this page to start a conversation.
Contact
Let's talk about your problem, specifically
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.
- info@keyvitse.in
- Location
- India · serving enterprise clients globally