Turn your messy data into AI-ready intelligence
Gopherlabs is the data engineering layer for enterprise AI. We clean, structure, and serve your data so RAG pipelines and LLM applications ship with retrieval accuracy you can prove.
Trusted across the modern data & AI stack
Four primitives. One pipeline.
Every Gopherlabs engagement composes the same four moves — tuned to your data, your domain, and your retrieval goals.
Clean
Deduplicate, normalize, and validate across silos. Schema drift handled, PII redacted at ingestion.
Structure
Chunking, metadata, and ontology-aware enrichment tuned to how your domain actually retrieves information.
Embed
Model-agnostic embeddings with continuous re-indexing as your source data evolves.
Retrieve
Hybrid search, reranking, and evals built in. Measurable accuracy, not vibes.
A repeatable path from raw data to production AI
Most teams stall between cleaning and evaluating. We've built the operating model that doesn't.
- 01Assess
Audit your sources, schemas, and retrieval quality. Deliverable: a sharp gap analysis.
- 02Clean
Dedup, normalize, redact PII, and resolve entities across systems of record.
- 03Build Pipeline
Ingestion, chunking, embedding, indexing — orchestrated and version-controlled.
- 04Evaluate
Golden datasets, retrieval metrics, hallucination scoring. Ship with evidence.
- 05Operate
Monitoring, drift detection, and managed re-indexing. We stay on the pager.
Engagements built for production
Pick a service or compose them into a full data-to-LLM program.
Data Assessment
Map your data surface area and find the wins before writing a line of code.
Structured Cleanup
Warehouse-grade dedupe, normalization, and lineage for tabular sources.
Unstructured Processing
PDFs, transcripts, tickets, contracts — turned into retrievable knowledge.
RAG Pipeline Engineering
Ingestion, chunking, hybrid search, reranking, evals. End-to-end.
Governance & Compliance
PII redaction, ACLs, audit trails, and data lineage on by default.
Managed LLM Ops
Monitoring, evals, model swaps, and re-indexing as a service.
Domain knowledge baked into the pipeline
From regulated finance to clinical workflows — we ship with the controls your auditors expect.
- Retrieval accuracy lift
- 10×
- Hallucination rate
- <2%
- PII-safe by default
- 100%
- Pipeline uptime SLA
- 99.9%
“Gopherlabs took six years of fragmented PDFs and turned them into a retrieval layer our analysts actually trust. Hallucinations dropped to near-zero.”
Ready to make your data AI-ready?
Book a 30-minute assessment. We'll map your stack, your bottlenecks, and the fastest path to production-grade retrieval.