Capability · RAG & Applied LLM Systems
Hybrid retrieval, intent-aware routing, and answers that cite their sources - or refuse. Measured by an eval harness on every change, not by vibes.
Trusted by 100+ founders
Sources ingested into production indexes
Saved per analyst, per day, in production use
Answers cited to source - or refused
The Architecture
Ingestion keeps the index fresh; the query lane routes, retrieves, and answers with citations. The harness measures both - in CI.
Shipped in Production
Riverwalk Holdings
Built an AI-driven monitoring platform that ingests data from Tracxn, K-Scan, LinkedIn, Medium and ~21,000 company links - then summarises, scores, and surfaces what the Riverwalk investment team needs to act on each day.
3 hours per day saved by Associates and Partners
Confidential — Fintech
Built an AI compliance layer that monitors 100% of loan applications for regulatory violations in real-time, replacing a team of 12 manual reviewers.
100% application coverage vs 20% before
Client name withheld
End-to-end HIPAA-compliant engineering for a US health-tech company building a real-time clinical translation engine - sub-second latency, hallucination detection, and edge-case-language support, all in production.
50,000+ voice minutes of real-time medical translation per month
Confidential — B2B SaaS
Built a natural language analytics interface that lets non-technical users query their data in plain English — eliminating 80% of ad-hoc data team requests.
80% reduction in ad-hoc data requests
Confidential — Healthcare
Deployed a voice AI triage system that reduced ER wait times by 35% by intelligently routing patients before they see a doctor.
35% reduction in ER wait times
How We Build It
RAG demos are easy. RAG that analysts trust with real decisions is an engineering discipline.
01
Structure-aware parsing for PDFs, tables, and messy exports. Retrieval quality is decided here, before any model runs.
02
Dense embeddings plus keyword search plus reranking. One method alone misses; the combination is what holds up.
03
Intent-aware routing decides where each query goes - the structured DB, the vector index, or both.
04
Retrieval recall, answer faithfulness, and regression suites run on every change. No eval, no deploy.
05
Every claim attributed to a source - and a refusal path when the sources don't support an answer.
06
Incremental ingestion with change detection. An index that drifts stale is worse than no index.
Deployed With
pgvectorPineconeElasticsearchCohere RerankLlamaIndexLangSmithClaudeGPT-5The Team Behind It
100+ full-time product people - engineers, designers, PMs, and QA - led by founders who've built, scaled and exited their own startups. Senior people are on your product from day 1, working your hours. This is the same team powering investment intelligence for leading VCs and PEs.
Meet the team
Rahul Nair
Co-Founder & Head of Engineering
Architect behind every AI system we ship to production.
+100Full-time team · 0 freelancers · US-hours overlap
Testimonials
Pre-Seed to Series B
“We hired Tequity shortly after closing our pre-seed, and since then they've completely taken over our frontend and DevOps work. Typical turnaround is 1 day for critical bug fixes, 7 days for new features, and 6 weeks for entire MVPs. The software we built together is now used by multiple leading American biopharma companies. I recommend Tequity for any startup from angel round through Series B and beyond.”
Founder & CTO, TerraFlow
“The best outsourced engineering help you can get. Genuinely talented engineers who deliver on time, take full ownership of the product, and push back on your ideas until they understand why you're building each thing.”
Founder, Bantor
4.9/5
Average rating across 100+ customers over 4 years
“They helped us audit our product, identify key UX/UI improvement opportunities, and prioritize quick wins that delivered immediate value. The team has been responsive, collaborative, and consistently delivers high-quality work.”
Founder & CEO, Boxsy
The work behind the words.
See all case studies →
Co-Founder, QuantWheel
“We came in expecting a redesign and got something more useful. Design Labs built us a design system our AI could actually build against, so what we ship stays consistent without us having to think about it. We'd give feedback and see it reflected in the next round, often the same day.”
LET'S TALK
Book a 30-minute call. We'll talk sources, retrieval strategy, and what a trustworthy answer looks like for your domain.
