AI infrastructure shipped faster than your engineering team can build it.

You know your AI product needs production RAG — your engineers don't have the cycles.

Design and implementation of a production-ready RAG system: chunking strategy, embedding pipeline, vector DB setup, retrieval tuning, re-ranking, and prompt management across environments.

Best for

Early-stage AI companies (seed–Series A) building AI-native products who need the infrastructure delivered faster than their engineering team can build it.

Outcome

Production-grade chunking, embeddings, retrieval, and eval. Shipped in weeks, not quarters.

Stack

LangChain / LlamaIndex · OpenAI embeddings · Pinecone / pgvector / Weaviate · CI/CD integration

Upsell

Evaluation framework — systematic testing so model changes can be measured rather than guessed.

Note

Scope locked in writing before work begins — documents, retrieval methods, eval framework, deployment target. Prevents scope creep.

Compliance reviews don't scale linearly. Your team is the bottleneck.

A RAG system trained on regulatory frameworks (GDPR, CCPA, state privacy laws) paired with LangChain workflows that automate assessment, gap analysis, and report generation. Your team reviews outputs, not raw documents.

Best for

Privacy tech and compliance SaaS companies that need AI to scale compliance workflows without scaling headcount.

Outcome

AI does the first pass against GDPR/CCPA/state laws. Your team reviews and signs off.

Stack

LlamaIndex · OpenAI · Jurisdiction-specific doc sets · Structured output

Upsell

Internal compliance Q&A assistant — "does this apply to us?" answered in real time.

Customers want answers, not dashboards.

An AI layer on top of your existing analytics data that generates natural-language summaries, trend narratives, and recommended actions. Client-ready output, not raw numbers. Includes a natural-language query interface.

Best for

Analytics and data SaaS platforms where clients need interpretation, not just dashboards. Strong fit for sports, media, and revenue intelligence.

Outcome

Plain-English summaries, trends, and recommendations on top of your existing data.

Stack

GPT-4o · Data model integration · NL query layer · Templated reports

Upsell

Natural-language query interface — customers type questions and skip dashboard navigation entirely.

Keyword filters miss the right matches; no-shows blow up schedules.

Intelligent job-to-worker matching (beyond keyword filters), shift scheduling optimization, and automated worker communication flows (SMS/email for reminders, changes, no-show risk). Built as integrable features on top of your existing data model.

Best for

Workforce management SaaS platforms looking to add AI features without rearchitecting their platform.

Outcome

Smarter matching, optimized shifts, fewer empty slots — added to your existing platform.

Stack

GPT-4o · Scheduling optimization · Twilio · Platform API integration

Upsell

No-show risk prediction — flag high-risk workers before a shift so gaps are filled proactively.