Enterprise AI Systems
That Cite Sources.
We turn messy documents, regulatory policies, and multi-step workflows into production-ready RAG search and deterministic AI agents in 4–6 weeks. Zero hallucinations. Verified paragraph citations. Measured retrieval quality.
From AI Strategy to Production.
A disciplined, milestone-driven framework that bridges executive vision with operational software.
Understand Systems & Workflows
We analyze your document repositories, operational workflows, and data boundaries to identify where AI delivers verified business value.
Design the Optimal System
We evaluate existing enterprise platforms (e.g. Glean), search backends (OpenSearch, Qdrant), and model pipelines to select the right stack.
Build, Benchmark & Harden
We build parsing pipelines, hybrid retrieval engines, and deterministic agent state machines with rigorous evaluation harnesses.
Move Safely into Production
We integrate directly into your internal tools and APIs with role-based access control, security guardrails, and telemetry.
Measure, Refine & Scale
We monitor retrieval recall, detect document drift, tune prompt pipelines, and optimize performance continuously.
What We Implement
We engineer reliable, audited AI systems built around your specific operational workflows.
Enterprise Knowledge & Search
Transform fragmented corporate documents, policies, SOPs, and repositories into unified, high-precision search and RAG systems.
- Enterprise search & indexing
- Dense/sparse hybrid retrieval
- Layout-aware document intelligence
- Permission-aware access controls
- Verifiable citation grounding
AI Agents & Workflow Automation
Deploy constrained, deterministic agentic workflows that orchestrate tasks across multiple enterprise systems safely.
- LangGraph state machine architectures
- Human-in-the-loop (HITL) checkpoints
- Pydantic schema validation
- Tool-calling & CRM/ERP integration
- Audit logs & telemetry tracking
AI Platforms & Integrations
Implement and customize leading enterprise AI and search platforms without rebuilding infrastructure from zero.
- Enterprise platform deployment (e.g. Glean)
- Custom enterprise data connectors
- Search infrastructure (OpenSearch, Qdrant, Weaviate, Elastic)
- API & business application gateways
- Private VPC & cloud orchestration
Custom AI Applications
Engineer domain-specific AI software, internal co-pilot tools, and intelligent workflow systems tailored to specialized operations.
- Industry-specific workflow software
- Internal decision-support co-pilots
- Multi-document analysis consoles
- Intelligent extraction pipelines
- Scalable microservices & APIs
Enterprise AI Implementation,
Without Starting From Scratch.
Most organizations do not need to spend months attempting to invent a proprietary search or AI stack. We work across your existing infrastructure and select battle-tested platforms to solve client problems rapidly.
Our Research & Architectural Focus
We bridge cutting-edge machine learning research with deterministic enterprise engineering — investigating attention efficiency, state machines, and verified citation boundaries.
KV Cache Optimization & Grouped Query Attention (GQA)
Investigating 8–16x KV cache reduction in autoregressive inference without model degradation, enabling long-context enterprise document intelligence on constrained compute.
Deterministic State Machines & HITL Verification
Developing bounded LangGraph state topologies that eliminate unbounded LLM recursion and enforce strict schema gating on enterprise ERP and CRM tool-calling.
Layout-Aware Parsing & Dense/Sparse Hybrid Retrieval
Benchmarking table extraction across complex multi-page regulatory filings, combining BM25 keyword matching with cross-encoder rerankers and automated RAGAS scoring.
Spiking Neural Networks & Efficient Neural Architectures
Exploratory research into temporal spiking dynamics and neuromorphic computing paradigms for ultra-low latency, energy-efficient edge intelligence.
Book an Architecture Review
Discuss your organization's document complexity, search challenges, or agent workflows with an experienced AI systems architect.