We build production-grade AI agents, deterministic RAG pipelines, and intelligent workflow automation systems that connect into your business databases and execute verifiable work.
Most organizations experiment with consumer AI wrappers and find that hallucinations, lack of source citation, and disconnected data silos prevent deployment into mission-critical workflows.
Complex multi-column PDF reports, scanned documents, and spreadsheets that break standard text parsers.
Stochastic models producing inconsistent results without strict output schema enforcement or validation.
AI tools unable to read from ERPs or write back to CRMs, leaving humans as the bottleneck.
We do not measure our engagements by lines of code or ticket churn. We measure our impact by operational velocity, system durability, and revenue throughput.
Manual document reading, ungrounded chat prompts, fragile copy-paste workflows, and high compliance risk.
Deterministic private RAG, autonomous workflow agents, verifiable citation grounding, and automated system actions.
From raw multi-modal inputs through private vector stores and deterministic guardrails into actionable downstream ERP/CRM integrations.
Every capability is delivered by specialized senior engineers with verified domain experience.
Retrieval-Augmented Generation that searches across private contracts, knowledge bases, and manuals with strict mathematical grounding.
Multi-step autonomous agents equipped with tools to read emails, extract data, check business rules, and trigger actions in your systems.
Transform complex invoices, shipping manifests, legal agreements, and insurance forms into validated, structured JSON payloads.
Self-hosted open-weights models deployed inside your private cloud VPC, ensuring zero third-party data transmission or retention.
See how this capability is deployed in complex commercial environments to remove friction and unlock leverage.
From initial architectural audit through continuous deployment and SLA handover, our process ensures predictability and transparency.
Evaluate document structures, query patterns, benchmark accuracy requirements, and verify compliance constraints.
Build custom layout-aware chunkers, configure vector databases, and implement hybrid retrieval pipelines.
Implement structured schema validation, deterministic refusal policies, tool execution, and frontend UI.
Synthetic evaluation suites of 1,000+ queries, latency optimization with vLLM, and security pen-testing.
Technology serves the outcome, not the other way around. We only support battle-tested, high-throughput technologies suited for long-term production maintenance.
Real systems engineered by LOGIC NOSH running mission-critical workloads.
We engineer deterministic guardrail pipelines. Our systems do not allow the LLM to answer from open memory; instead, answers are strictly synthesized from retrieved source chunks, and an automated verification layer checks that every sentence is directly supported by citations before rendering.
Never. We prioritize self-hosted open-weights models running in your private VPC or dedicated enterprise zero-data-retention APIs where customer data is never stored or used for training.
Yes. We build deterministic tool-calling workflows equipped with strict permission boundaries, cryptographic signatures, and configurable human-in-the-loop approval thresholds for high-value operations.
Bring us your architectural bottleneck. We will conduct a thorough feasibility review and define a clear, scalable implementation plan.
