Production AI Engineering in Action.
A detailed breakdown of our AI system builds, architecture decisions, real-world performance metrics, and verified client proof points.
Enterprise Knowledge & RAG Assistant Platform
Challenge
500+ unorganized technical documents and internal manuals causing high latency in engineering onboarding and customer support responses.
Engineering Solution
Built a custom, model-agnostic RAG engine featuring hybrid vector/keyword search, role-based access controls, and automated document ingestion pipelines.
Security & Compliance Posture
Built with zero third-party model training, PII filtering, strict role-based access control (RBAC), and isolated vector database namespaces.
Verified Performance Metrics
Technology Stack
Autonomous Invoice & Document Extraction Pipeline
Challenge
Manual entry of 2,500+ complex multi-page PDF invoices monthly leading to error rates and 72-hour processing backlogs.
Engineering Solution
Engineered a multi-agent LangGraph pipeline with specialized OCR extraction, schema validation, and ERP webhook sync.
Security & Compliance Posture
SOC2-compliant staging environment, automated PII redaction, and encrypted audit logging.
Verified Performance Metrics
Technology Stack
Multi-Tool MCP Server for Enterprise Systems
Challenge
Siloed database systems preventing AI assistant tools from accessing patient scheduling and records safely.
Engineering Solution
Developed a custom Model Context Protocol (MCP) server connecting LLM agents directly to SQL databases with granular permissions.
Security & Compliance Posture
HIPAA-ready boundaries, OAuth2 authentication, and isolated database query execution sandbox.
Verified Performance Metrics
Technology Stack
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 engineer a production AI build for your business?
We build custom, model-agnostic AI systems with 100% IP ownership. From strategy and architecture to production code and handoff.