Finance. Pharma. Automotive. Manufacturing.
We architect production-grade AI that handles real data,
real compliance, and real consequences. Not demos.
What we do
We've seen it repeatedly — brilliant prototypes that crumble under real load, real compliance requirements, and real domain constraints. LumrexAI builds the systems that survive that boundary.
LLM pipelines with typed validation. Agentic systems with fallback paths. PII masking before any data reaches a model. Confidence gating before any output reaches a user. Every system. Every time.
LLMs are non-deterministic. Your system cannot be. Every LLM call is wrapped in typed validation, retries, and schema enforcement.
Guardrails are architecture, not afterthought. PII detection runs before any data reaches an LLM. Zero exposure by design.
Every system must have a fallback path. DLQs, circuit breakers, human review queues. Systems degrade predictably.
Observability from the first commit. Token cost, latency, confidence scores — logged from day one, not retrofitted.
Build for the regulated domain, not the demo. Banking, pharma, automotive — these domains don't tolerate hallucinations.
Products
Infylr
infylr.app · Document Intelligence
Universal document intelligence. Upload any file — PDF, DOCX, XLSX, scanned, handwritten. Chat to fill any template. Download in seconds. No copy-pasting. No domain expertise required.
FinSight
Finance · PDF Intelligence
Production-grade financial intelligence. Analyze complex reports with enterprise-level security and compliance. Cited answers. Confidence scoring. Zero hallucinations by design.
More in the Lab
Pharma · Automotive · Manufacturing · Medical
CortexIQ, AutoSentinel, and more are in development. Each one built to the same production standard — typed validation, safety architecture, domain-specific accuracy.
03 What we build
We don't sell AI features. We architect systems that survive compliance audits, scale under load, and produce auditable outputs.
Hybrid search, reranking, confidence gating. Vectorless PageIndex. Every answer cites its source page.
LangGraph + CrewAI orchestration. State machines with typed validation, fallback paths, DLQ escalation.
Domain-specific model adaptation on SageMaker and Vertex AI. The 73%→92% accuracy jump that prompting alone can't deliver.
Presidio-grade guardrails. Mask before LLM, controlled unmask post-verification. Immutable audit logs.
Extract, classify, and query unstructured documents with full citation traceability to the source page.
PoC to production-deployed AI product. Architecture, build, deploy, monitor. Full production boundary ownership.
04 What powers us
Every tool battle-tested in production — chosen because it solves real problems in regulated domains. We don't chase hype.
05 How we work
We don't start with tools. We start with your domain, your constraints, and your compliance requirements.
Map your domain: data flows, compliance boundaries, latency requirements, and where AI creates real leverage.
Design the system before a line of code is written. Guard layers, fallback paths, confidence thresholds — defined upfront.
LangGraph pipelines, RAG systems, fine-tuned models. TypedDict schemas, not loose JSON.
PII masking, output validation, audit logging, confidence gating. Not optional — part of every system we ship.
Token cost, latency, confidence scores — observable from day one. Not retrofitted when something breaks.
I started LumrexAI because I saw too many AI projects fail at the production boundary — great demos, broken systems. I've spent years building in production, under real load, with real regulatory stakes.
About
RAG pipelines, multi-agent systems, and safety architectures for banking, pharma, and automotive domains. Not in a lab — in production, under real load, with real regulatory stakes.
Every product and system we build at LumrexAI is a direct response to that gap. We don't just ship code — we ship systems that survive the real world.
LLMs are non-deterministic. Your system cannot be. Every LLM call is wrapped in typed validation, retries, and schema enforcement.
Guardrails are architecture, not afterthought. PII detection runs before any data reaches an LLM. Zero exposure by design.
Every system must have a fallback path. DLQs, circuit breakers, human review queues. Systems degrade predictably.
Let's build
Whether you're starting from scratch or untangling a failing PoC — we'll architect something that survives production. Selectively taking on new projects now.