Financial technology that reimagines risk, onboarding and service
We build AI for lenders, payment companies and banks where accuracy, auditability and data residency are non-negotiable: document intelligence for KYC and underwriting, fraud and risk models, and compliant customer assistants.
Where AI pays off in Fintech & Banking
KYC & document intelligence
Extract and verify identity, income and bank statements with confidence scores and review queues.
Credit & fraud risk models
Predictive models with monitoring and explainability for regulators and internal risk teams.
Compliant customer assistants
Support and onboarding agents grounded in policy with guardrails and full audit trails.
Fintech & Banking at a glance
How we help
Problems we solve in Fintech & Banking
Each maps to a reference architecture and to outcomes the industry has documented.
Support queues that never shrink
Tier-1 questions consume most of the team's day, answers vary by agent, and customers wait. Generic chatbots deflect badly because they do not know your policies or your systems.
How the system works
- Customer message
- Intent & policy check
- Retrieve from your docs & orders
- Answer or act via tools
- Escalate with context
Outcome: Klarna's assistant handled two thirds of customer chats in its first month and cut resolution time from 11 minutes to under two; Intercom reports Fin resolving 76% of conversations on average. Klarna press release
ArchitectureDocuments keyed in by hand
Invoices, KYC files, claims and contracts arrive as PDFs and photos. People retype them, errors slip through, and the backlog grows every month-end.
How the system works
- Ingest PDF / image / email
- Classify document type
- Extract to a schema
- Validate & score confidence
- Auto-post or route to review
Outcome: Documented deployments classify documents in under a second, turn day-long claims backlogs into minutes, and reach 85% no-touch invoice processing within six months with a seven-month payback. DXC with Claude; Vic.ai
ArchitectureSwivel-chair work across systems
Onboarding, reconciliation, procurement and approvals require people to read one system and type into another, with rules that live in someone's head.
How the system works
- Trigger (email, form, event)
- Orchestrator plans steps
- Worker agents read & decide
- Confirm risky actions
- Update systems & log
Outcome: CRM-native agents at a regulated vendor deflected 72% of support cases to self-service and saved 7.5 hours per case handled with AI assistance. Smarsh on Salesforce Agentforce
ArchitectureLet's build intelligent systems that drive growth
Tachyon is the engineering partner for teams that need AI in production, not in a deck. Start with a free 60-minute discovery call.
Talk to experts about your product idea
Every great partnership begins with a conversation. Whether you are exploring possibilities or ready to scale, tell us what you are actually trying to build.
- ubheshubham.37@gmail.com
- +91 84592 96471
- Clients worldwide · English
- Pune, India · Headquarters