Add AI to your systems.
Without rebuilding everything.
Practical AI integrations into your existing software: chatbots, document processing, automated workflows, RAG for internal knowledge bases. From $3,000 USD per project. Built nearshore in 2-8 weeks.
Real AI use cases
- Customer support chatbot trained on your docs
- Auto-extract data from PDFs / contracts / invoices
- Generate quotes, emails, reports automatically
- Internal "Ask the wiki" with semantic search (RAG)
- Sentiment analysis on reviews / support tickets
Why companies pick us for AI
We're software engineers who got into AI — not AI hypers chasing the trend. We build things that actually ship.
Practical, not hype
We don't pitch you on AGI. We pick the right model (GPT-4o, Claude, Llama) for your specific case and ship something that solves a real problem in weeks.
Integrates with your stack
Your CRM, ERP, custom database — we plug AI into what you already have via APIs. No "replace your entire system" sales pitch.
Cost-aware
We design for low token usage. Cache aggressively, use cheaper models where appropriate, batch requests. Your AI bill stays predictable.
Your data stays yours
Self-hosted vector DBs (pgvector, Qdrant) when needed. No training your data on public models. NDAs + data processing agreements signed.
Production-grade
We add monitoring, fallbacks for AI failures, rate limiting, prompt versioning. Not just a Colab notebook that breaks the first time it scales.
You own the prompts
All prompts, vector embeddings, fine-tunes documented and delivered to you. You can switch providers later if pricing changes.
What we build with AI
Real use cases that pay back in months — not "interesting experiments".
Custom chatbots
Web/WhatsApp/Slack bots trained on your knowledge base. Answer customer questions, qualify leads, route to humans when needed.
Document processing
Extract structured data from PDFs, contracts, invoices, IDs. Output JSON ready for your database. Batch or real-time.
RAG knowledge bases
"Ask the wiki" search over your internal docs (Confluence, Notion, Google Drive, PDFs). Cited answers, not hallucinations.
Content generation
Auto-generate proposals, product descriptions, email replies, reports — using your brand voice and templates.
Sentiment & classification
Auto-categorize support tickets, analyze review sentiment, prioritize leads by intent. Real-time or batch.
Workflow automation
AI agents that orchestrate multi-step workflows: read email → extract data → update CRM → reply. With human-in-the-loop where needed.
How we work
Start small. Prove value. Then scale. We don't sell big-bang AI transformations.
Use case discovery
1-hour call to identify which AI use case has fastest ROI in your operation. We may say "this isn't a fit for AI yet".
Proof-of-concept
2-3 week PoC with your real data, on a focused use case. Fixed price. You see if it works before committing.
Production rollout
If PoC works, we harden it for production: error handling, monitoring, cost controls, UX, integrations.
Iterate + scale
Monthly retainer to add new use cases, tune prompts, swap models as costs/quality change.
Where AI pays off fastest
Industries with lots of repetitive text/document work get the highest ROI from AI integration.
Pricing
Fixed price per project. Token costs invoiced separately at cost (or you bring your own API key).
Simple integrations (single chatbot, basic doc extraction) at $3k-$8k USD. Production RAG systems and multi-step agents at $10k-$25k. Enterprise AI platforms at $25k-$30k+.
Always included
- Use case discovery + ROI analysis
- Model selection (best cost/quality fit)
- Prompt engineering + versioning
- Integration with your existing system
- Cost monitoring + token usage dashboard
- Fallback handling for AI failures
- 30 days post-launch support
FAQ — AI Integration
Let's talk about your AI use case
30-min discovery call to figure out if AI is the right fit — or if you're better off with traditional automation.
