Custom RAG Knowledge Retrieval
Vector indexing over private internal data using Pinecone/pgvector.
Let the system carry the repetitive parts.
Intelligent features and workflows that carry the repetitive parts with precision.
< 250ms
RAG Retrieval Latency
99.2%
Factual Extraction Accuracy
100%
Audit Logged Decisions
What we build and
deliver to production.
Agentic Workflow Orchestration
Autonomous multi-step execution pipelines with human review checkpoints.
Intelligent Document Extraction
Parsing PDFs, invoices, and unstructured contracts into strict JSON schemas.
Fine-Tuning & Model Guardrails
Custom fine-tuned models with deterministic moderation and output validation.
Tools chosen for this capability.
PythonFastAPIOpenAI / Claude APILangChainPineconeCelerypgvector
Automated Insurance Underwriting Assistant
Implemented an automated document processing agent that extracts policy claims with 99.4% precision.
8x Faster Claim Processing • $180k Annual Overhead Saved
From discovery to
launch & scale.
01
Find the friction
Map domain context, user stories, and architecture requirements.
02
Define the decision
Define database models, API specs, and technical constraints.
03
Design the handoff
Design accessible high-fidelity Figma components and prototypes.
04
Integrate
Write type-safe, tested code in rapid 2-week sprint cycles.
05
Improve
Execute zero-downtime deployment backed by 24/7 observability.
No mystery
required.
We read the context, ask the questions that matter, and come back with a clear response rather than a generic pitch.
Yes. We can work as a focused extension of an internal team, alongside a founder, or as a product partner from the start.
We look for the smallest version that can create a real signal: a useful action, a meaningful workflow, or a clearer decision.
Make the next thing useful.
Bring the idea, the friction, or the question. We will help give it a shape that can move.