Case Studies & Deployments
We assess where AI creates value, then build and ship the solution. From strategic assessment to production deployment—end-to-end delivery.
1M+
Documents Indexed
60%
Avg. Efficiency Gain
40%
Cost Reduction
2-24
Weeks to Delivery
A mid-market private equity firm
Comprehensive AI opportunity assessment across a portfolio of 12 companies. Identified $40M in potential value creation through automation and intelligent workflows.
Impact
$40M opportunity identified
A regional telehealth provider
Conversational AI agent that handles patient scheduling, insurance verification, and pre-visit questionnaires—freeing staff to focus on complex cases.
Impact
70% calls automated
A Fortune 100 insurance company
Developed enterprise-wide AI governance policies, risk assessment frameworks, and compliance playbooks for responsible AI deployment across business units.
Impact
Enterprise-wide adoption
A Series C fintech company
AI-powered code review pipeline that catches security vulnerabilities, suggests optimizations, and enforces coding standards before human review.
Impact
85% faster PR reviews
A top-50 e-commerce retailer
Visual and semantic search engine that lets customers find products by uploading photos or describing items in natural language—dramatically improving conversion.
Impact
35% conversion lift
A federal government contractor
Comprehensive security audit of LLM deployments including prompt injection testing, data leakage analysis, and adversarial robustness evaluation.
Impact
23 vulnerabilities patched
A 500-person logistics company
End-to-end analysis of operational workflows to identify high-impact AI automation opportunities. Delivered prioritized roadmap with ROI projections.
Impact
18 use cases identified
A top-20 national law firm
A natural language interface that scans contracts to extract obligations, identify high-risk clauses, and flag inconsistent language—reducing legal review time by 60%.
Impact
60% faster reviews
A Series B enterprise SaaS company
A streamlined method for fine-tuning large language models on domain-specific data with minimal computational resources.
Impact
10x cost reduction
A Fortune 500 financial services firm
A private-facing assistant that indexes internal documents and supports retrieval-augmented generation to help employees get accurate answers without switching tools.
Impact
4hr saved/employee/week
A 200-person e-commerce startup
A lightweight tool that uses LLMs to classify support tickets, draft first-pass responses, and escalate edge cases—reducing average resolution time and improving consistency.
Impact
45% faster resolution
A major league sports organization
Custom embedding models optimized for domain-specific retrieval and improved search relevance in RAG pipelines.
Impact
3x relevance improvement
A 30-person design agency
A tool that helps product managers and designers explore flows, draft copy, and generate wireframes based on short prompts and product goals.
Impact
2x iteration speed
A Y Combinator-backed AI startup
A new context processing algorithm that allows models to handle 4x longer documents while maintaining coherence and accuracy.
Impact
4x context length
A leading healthcare provider network
An AI system for compliance teams that helps verify procedural checklists, summarize policy changes, and flag non-compliant language across internal docs.
Impact
90% coverage rate
A global manufacturing conglomerate
A review workflow for human evaluators that annotates LLM output, tracks hallucination rates, and identifies failure modes across different prompts and datasets.
Impact
80% fewer errors
Our Approach
We don't just advise—we build. Every engagement starts with strategic assessment and ends with production-ready solutions that deliver measurable ROI.
Deep-dive into your operations to identify where AI creates real value. Detailed roadmap with implementation steps and expected outcomes.
Build working prototypes to prove production viability. Test assumptions with real users before committing to full implementation.
Ship production-grade solutions with enterprise security, monitoring, and ongoing optimization. We staff from our 50+ person collective.
We partner with enterprises to assess AI opportunities and deliver production-ready solutions. Start with consulting—scale to implementation.