Private AI integrations and intelligent workflow automation.
We connect proprietary business data to private LLMs using Retrieval-Augmented Generation (RAG) with strict zero-data-retention security guarantees and verifiable citations.
Private Enterprise AI · Vector retrieval, document extraction, and zero data retention
What you get from our engineering pod.
Private Retrieval-Augmented Generation (RAG)
Connect private corporate wikis, contracts, and knowledge bases to vector databases (pgvector / Pinecone), generating answers with verifiable source document citations.
Document & Invoice OCR Processing Pipelines
Automate extraction of unstructured data from invoices, medical receipts, and contracts into structured JSON payloads injected directly into your database.
Context-Aware Internal & Customer Support Agents
Automated agents that handle routine customer inquiries, resolve support tickets, and guide internal staff using your company operating procedures.
Self-Hosted Open Source Models (vLLM / Ollama)
Deploy and fine-tune open-source foundation models (such as Llama 3) inside your own cloud VPC for maximum privacy and zero third-party API exposure.
Strict Zero-Data-Retention Security Guarantees
Enterprise API configurations with strict contractual guarantees that your proprietary business data will never be stored or used to train external public models.
From architectural blueprint to production scale.
Data Audit & Security Boundary
Define data sources, access permissions, and select between private APIs and self-hosted VPCs.
RAG & Vector Construction
Chunk documents, generate vector embeddings, and build automated prompt workflows with fail-safes.
Accuracy Tuning & Telemetry
Evaluate output accuracy against domain experts, optimize token costs, and deploy with monitoring.
Private AI integrations and intelligent workflow automation. performance benchmarks & profiling.
We engineer every layer for extreme efficiency. From database query indexing to edge cache warming, every build hits stringent Core Web Vitals targets.
< 50ms TTFB at Edge
Multi-tiered caching utilizing Redis object caching, Cloudflare Edge compute, and database connection pooling to deliver instantaneous server response.
Core Web Vitals Pass
Guaranteed Largest Contentful Paint (LCP < 1.2s), Interaction to Next Paint (INP < 100ms), and zero Cumulative Layout Shift (CLS = 0).
Zero N+1 Query Regressions
Strict ORM eager-loading audits, composite B-tree indexing on foreign keys, and automated slow-query log alerts in CI test pipelines.
< 120kB Critical Payload
Tree-shaking, Brotli compression, dynamic route splitting, and inline vector SVGs eliminating heavy external asset overhead.
Security hardening, OWASP protection & patch SLA.
Defense in depth applied to every software deployment to secure client data and maintain ISO 9001 quality controls.
Continuous SAST / DAST
Automated static and dynamic application security testing embedded into GitHub Actions to intercept CVEs before release.
Sanitized I/O & CSRF
Strict parameterized SQL queries, automated CSRF token checks, Content Security Policy headers, and rate-limited endpoints.
Zero Hardcoded Secrets
Encrypted runtime environment variables with Doppler or AWS Secrets Manager. Zero credentials stored in repository git trees.
< 24-Hour Critical Patches
Automated Dependabot alerts with guaranteed 24-hour turnaround on critical CVE releases across all maintained stacks.
Ready to build your AI Technologies & LLMs platform?
Talk directly with our senior architects in Ahmedabad. We review your specifications, discuss trade-offs, and outline a realistic roadmap within 24 hours.