Autonomous Audit Pipelines & Financial RAG Systems.
Engineered for financial institutions requiring sub-second document search, automated audit trail generation, and strict data privacy boundaries.
"Sub-400ms retrieval across 500k+ financial records with zero third-party model training."
Unstructured Financial Filings
Analysts spending 40% of their workday reading 10-K filings, loan agreements, and audit reports to find risk clauses.
Model Training & Privacy Risks
Strict regulatory requirements prohibiting proprietary financial data from training public LLM models.
Rigid Legacy Banking Cores
Inability to integrate AI features into legacy banking software without breaking compliance audits.
Hybrid Vector Search RAG Engine + PII Masking
Dense + Sparse hybrid vector retrieval with automated PII masking and zero data retention endpoints.
Verified ROI Metrics
Technology Stack
Solving silent objections before code is written.
Production AI projects fail when security, legacy integration, or vendor lock-in are ignored. Here is how we guarantee safety across every build.
"Will our proprietary data or IP train third-party public AI models?"
✓ Zero Third-Party Training Guaranteed.
We enforce enterprise zero-retention API endpoints, isolated vector database namespaces, and automated PII data masking before any prompt payload reaches an LLM model.
"Will an AI build require rewriting our existing software stack?"
✓ Decoupled Architecture & Retrofits.
We build AI middleware microservices and custom Model Context Protocol (MCP) servers that plug into your existing ASP.NET, Node, Python, or SQL databases via REST/gRPC without touching legacy core code.
"What happens to the code, models, and docs when your team leaves?"
✓ 100% Client IP Handoff & Independence.
All source code, fine-tuned model weights, prompt engineering suites, CI/CD pipelines, and architectural docs transfer directly to your GitHub/cloud tenant. Your team maintains total long-term independence.
What engineering leaders say about our builds.
Direct feedback from CTOs, Founders, and VPs of Operations who partnered with dyta.ai for production AI systems.
"dyta.ai reduced our internal technical document search overhead from 45 minutes to sub-400ms retrieval while guaranteeing zero third-party model training on our proprietary IP."
VP of Operations
Mid-Market Logistics & Supply Chain
"They delivered a complete LangGraph agent automation suite in 3 weeks, transferred 100% of the source code and evaluation suites, and enabled our team to extend it independently."
Founder & Lead Architect
B2B SaaS Platform
"The custom Model Context Protocol (MCP) server retrofitted our legacy SQL database without disrupting a single existing API endpoint. Outstanding senior engineering quality."
VP of Engineering
Enterprise Financial Services
Ready to build an AI solution for FinTech & Financial Services?
Our team can design, scope, and engineer custom AI software with 100% IP ownership.