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AI projects that ship and scale.

We don't just build demos — we build production systems that companies rely on every day. Here's a look at what we've shipped.

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10+
Years Experience
50+
Projects Delivered
100%
Job Success Rate
3 weeks
Avg. AI Project Launch
RAG · Legal Tech

DocuMind AI

Legal contract intelligence for a Series A startup

80%
reduction in research time
3 weeks
to production
10k+
contracts indexed

The Challenge

A US-based legal tech startup had accumulated 10,000+ client contracts in AWS S3. Associates were spending 6+ hours per day on manual document search and cross-referencing — a bottleneck that was blocking deal throughput and burning senior lawyer time on low-value work.

Our Solution

We built a full RAG pipeline: documents chunked and indexed with metadata, stored in Pinecone, and surfaced through a Claude-powered Q&A interface with source citations. Associates can now ask natural-language questions like “What are the termination clauses in our healthcare contracts from 2023?” and get accurate, sourced answers in seconds.

Next.jsPineconeClaude APISupabaseAWS S3
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LLM Integration · E-commerce

ShopSense

AI support + semantic search for a $5M ARR DTC brand

42%
drop in support tickets
18%
lift in conversion rate
2,000+
SKUs indexed

The Challenge

A direct-to-consumer brand was drowning in 800+ daily support tickets — 60% of which were repetitive product questions. At the same time, their product discovery conversion was underperforming because customers couldn't find what they were looking for with keyword search.

Our Solution

We deployed two interconnected AI systems: a GPT-4o powered support chatbot trained on their product catalog, FAQs, and return policies; and a semantic search layer using OpenAI embeddings over their 2,000-SKU catalog. Both were integrated into their Shopify storefront with zero impact on existing checkout flow.

Next.jsOpenAI APIPineconen8nShopify
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Automation · Consulting

AutoFlow

AI-powered reporting pipeline for a 40-person consulting firm

20h
saved per week
4h → 8min
report generation time
7
data sources unified

The Challenge

A management consulting firm's analysts were spending 20 hours per week pulling data from Notion, Airtable, Google Sheets, and three internal tools into weekly executive summary reports. The manual process introduced errors, delayed delivery, and consumed time that should have been spent on analysis.

Our Solution

We designed and built an n8n automation pipeline that pulls data from all seven source systems on a schedule, normalizes it, and passes it to Claude for intelligent summarization. The final reports — formatted exactly to the firm's templates — land in Slack and email before the Monday morning call. No human touch required.

n8nClaude APINotion APIGoogle WorkspaceSlack
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What's Next

Your project could be here.

Every case study above started with a single conversation. Whether you have a detailed spec or just a problem worth solving — let's talk.

  • RAG chatbots for your internal data
  • LLM integrations into your product
  • AI workflow automation to save hours
  • Full-stack apps with AI at the core
  • Production fixes and performance wins
  • Custom AI agents for your use case
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