Generative AI Generative AI features your users will actually pay for — not demos.
Create content, code, and innovative solutions with state-of-the-art AI models. Delivered by our AI & Machine Learning team in 4 to 10 weeks. USD pricing.
Part of our AI & Machine Learning practice — see related capabilities below.
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Who we've built for.
How we work
- Focus
- Generative AI
- Stack
- OpenAI GPT-4o · Anthropic Claude · LangChain · LangGraph · Pinecone · Weaviate · pgvector · Python · FastAPI
- Integrations
- Slack · Microsoft Teams · Salesforce · HubSpot · Zendesk · custom APIs · vector databases
- Typical timeline
- 4 to 10 weeks
- Compliance
- EU AI Act · GDPR · SOC 2 · zero-retention API options · EU data residency
We integrate generative AI into existing products: content drafting, code generation, image workflows, and document automation. Fixed scope, evaluation harnesses, and cost controls included.
Recent AI builds — named clients
Built a complete Legal AI Contract Review & Drafting platform from scratch, with LLM fine-tuning, MS Word add-in, and multi-dashboard ecosystem
Read case study →
All-in-one hospital platform with AI medical history in seconds, staff, patients, inventory, CRM & finance
Read case study →
Unified company knowledge graph, graph RAG, SOC/ISO PR scans & LLM implementation.md from every source
Read case study →
1.6B EAN product API, Next.js dashboard, Amazon/Walmart Chrome extension with Keepa charts
Read case study →What we deliver — Generative AI
Content generation pipelines
Marketing copy, product descriptions, and localized content with brand voice controls.
Code and documentation assistants
In-app copilots for developers and technical writers inside your IDE or portal.
Image and media workflows
DALL-E, Midjourney API, or Stable Diffusion pipelines with moderation and storage.
Structured output generation
JSON, forms, and reports generated from natural language with schema validation.
Fine-tuning and prompt engineering
Domain-specific models and prompt libraries tuned on your data.
Cost and latency optimization
Caching, model routing, and batch processing to keep inference bills predictable.
Capability detail: AI & Machine Learning, AI Chatbot Development, Machine Learning, Computer Vision, NLP Development, AI Consultation.
Typical engagement ranges
AI feature integration
From $7,000
- LLM feature inside existing product.
- Single use case, 4 to 6 weeks.
- OpenAI or Claude API.
Production AI system
From $12,000
- RAG, agents, or multi-step workflows.
- Evaluation harness and monitoring.
- Typical 6 to 10 weeks.
Enterprise AI program
From $35,000
- Multiple AI products or divisions.
- Compliance documentation.
- Dedicated team retainer option.
FAQ
Most products ship with strong prompting and RAG first. Fine-tuning makes sense when you have thousands of domain-specific examples and strict output formats.
Zero-retention API options, EU residency, and contracts that exclude your data from model training. Documented in our compliance appendix.
Yes — we embed via API, iframe, or native UI components. Auth, billing, and usage metering integrate with your stack.
Single-feature integrations start at $7,000. Multi-workflow products typically land between $7,000 and $35,000 depending on evaluation and compliance needs.