AI Integration Services for Business Workflows
We integrate large language models, document processing, and intelligent automation into your business workflows. Not AI for AI's sake — AI that saves your team hours every week.
What We Build with AI
Every AI project starts with your business problem, not the technology. We pick the right model, architecture, and integration approach for your specific use case.
LLM Integration & Chatbots
Custom AI assistants powered by OpenAI, Claude, or open-source models. Context-aware, grounded in your data, and integrated into your existing tools.
Document Processing & RAG
Extract, classify, and search documents with OCR, vector embeddings, and retrieval-augmented generation. Turn your document chaos into a searchable knowledge base.
Agent Workflows & Automation
Multi-step AI agents that handle complex tasks: research, data entry, report generation, email triage. Supervised automation that scales your team's output.
AI for Real Businesses
We work with teams that have a specific problem to solve, not companies chasing AI hype.
Startups Building AI-First Products
You're building a product where AI is the core value prop. We architect the pipeline, handle prompt engineering, and build the infrastructure to ship your MVP fast.
Businesses Automating Manual Work
Your team spends hours on repetitive tasks — document review, data entry, customer support. We build AI-powered tools that handle the routine so your people focus on judgment calls.
Teams Adding AI to Existing Products
You have a working product and want to add AI features — smart search, recommendations, content generation. We integrate without disrupting what already works.
Further reading
- How AI Identifies Antiques From a Photo (and Where It Still Needs You)What actually happens when a vision model examines your heirloom — feature matching, mark reading, style classification — plus the honest boundaries: condition nuance, authenticity and touch.31 Aug 20263 min read
- Tweaking Pregnancy Test Photos: Why the Filter Era Should EndFor years, communities boosted contrast and inverted colors to find hidden lines. Here's what tweaking actually does to a photo, why it manufactures false hope, and what photo analysis looks like when it's done honestly.30 Aug 20263 min read
- How to Photograph a Pregnancy Test So the Result Is Actually ReadableHalf of all faint-line confusion is photography. The five-step setup for a readable test photo — light, angle, background, focus, timing — whether it's for your records, your partner, or an AI read.23 Aug 20263 min read
- How AI Reads a Pregnancy Test Photo (and When It Beats Your Eyes)What actually happens when a model looks at your strip — band detection, color analysis, artifact rejection — plus the honest limits: what AI can't know from any photo.23 Aug 20263 min read
AI Integration Questions
Which AI models do you work with?
We work with OpenAI (GPT-4o, o1), Anthropic (Claude), Google (Gemini), and open-source models via Ollama or Hugging Face. Model selection depends on your use case, budget, and data privacy requirements. We'll recommend the right model and explain the trade-offs.
How much does an AI integration project cost?
An MVP AI tool with a single workflow starts around $8k-18k. Production-grade systems with RAG pipelines, fine-tuning, and monitoring typically run $18k-35k. We provide a fixed-price quote after understanding your data and use case.
Is my data safe when using AI?
Yes. We use API-based access with zero data retention agreements, self-hosted models for sensitive data, and encrypted vector stores. Your data never trains public models. We design for compliance from day one.
Can AI really replace what my team does manually?
Not entirely — and that's the right answer. AI handles the repetitive, high-volume work (80%) while your team focuses on edge cases and decisions that need human judgment (20%). The result is usually a 3-5x throughput increase without sacrificing quality.
Keep exploring
Compare your options
Fixed, written quotes
Scope and price agreed up front — no hourly surprises, no scope creep on our side.
Milestone delivery with weekly demos
Progress you can see and click, every week from the second phase.
You own 100% of the code
Your repository, your IP, full handover — no vendor lock-in.
30–90 days of post-launch support
Bug fixes and stabilisation included on every delivery.
Start a project
Tell us what you're building. We reply within 24 hours, scope it on a 30-minute call, and send a fixed quote — usually within two business days.
- 01Reply within 24 hours
- 0230-minute scoping call
- 03Fixed quote in ~2 business days