We integrate ChatGPT, Claude, Gemini, DeepSeek, Mistral, Llama, and 20+ more AI APIs into your business — chatbots, document intelligence, voice AI, image generation, RAG systems, and full AI SaaS products.
We are model-agnostic — we integrate the right AI for your specific problem. Here's every API we have production experience with.
The world's most widely used AI API. Powers intelligent chatbots, document Q&A, summarisation, code generation, and complex reasoning tasks.
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Anthropic's safety-first AI. Exceptional for long-document analysis, nuanced reasoning, and tasks requiring careful, step-by-step thinking.
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Google's frontier model built for multi-modal tasks. Processes text, images, audio, video, and code natively — with a massive 2M token context.
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China's breakthrough open-source model that matches GPT-4 quality at a fraction of the cost. DeepSeek-R1 rivals o1 for complex reasoning tasks.
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Europe's leading AI lab producing highly efficient models. Mixtral's Mixture-of-Experts architecture delivers top performance with low latency.
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Meta's fully open-weight models — deploy on your own infrastructure for zero API costs and complete data control. Ideal for privacy-critical applications.
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Elon Musk's xAI model with real-time X (Twitter) data access. Best for applications needing up-to-the-minute news, trends, and social signals.
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Purpose-built for enterprise Retrieval-Augmented Generation (RAG). Cohere's Embed and Rerank models are the industry standard for semantic search.
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Not a model — a hardware platform. Groq's LPU chips run open models at 500–800 tokens/second, making it 10–20x faster than GPU inference.
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An LLM with built-in real-time web search. Every answer comes with cited sources — ideal for research assistants, fact-checking tools, and news apps.
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From a simple chatbot to a full AI-powered SaaS — here's what we deliver.
Custom GPT-powered bots for customer support, internal knowledge bases, lead qualification, and 24/7 FAQ handling — fully trained on your data.
Upload contracts, invoices, PDFs, or emails and extract structured data, summaries, and insights automatically using vision and LLM APIs.
Code review bots, auto-documentation generators, debugging assistants, and IDE integrations built on GPT-4, DeepSeek Coder, or Codestral.
Real-time voice assistants, call transcription systems, podcast tools, and speech-to-action apps using Whisper, ElevenLabs, and Deepgram.
Bulk image generation pipelines, product photo tools, DALL-E integrations, Stable Diffusion apps, and visual content automation systems.
Natural language querying of your databases, automated reporting, anomaly detection, and predictive analytics dashboards.
AI-driven n8n or Zapier replacements that route, classify, and process data without human intervention — reducing manual work by 60%+.
Retrieval-Augmented Generation systems that let your team ask questions of your entire document library in plain English.
Full-stack SaaS platforms with AI at their core — multi-tenant, subscription-billed, and built on Next.js, Node.js, and your chosen model.
We don't bolt on ChatGPT and call it AI. We build production-grade AI systems that actually work in the real world.
We build your AI layer so you can swap models as the AI landscape evolves — no vendor lock-in to OpenAI or any single provider.
SOC 2-conscious design with API key rotation, rate limiting, prompt injection guards, and PII redaction before data hits any model API.
For sensitive industries we deploy open-source models (Llama, Mistral) on your own cloud — your data never leaves your infrastructure.
We track accuracy, latency, cost per query, and user satisfaction from day one — so you can prove the AI investment to stakeholders.
Backend AI layer, frontend chat UI, admin dashboard, vector database, and CI/CD pipeline — all delivered as a working product.
We always design AI systems with override controls, confidence thresholds, and escalation paths — AI augments your team, doesn't replace oversight.
From idea to live AI product — a structured process that validates accuracy before you commit to a full build.
We map every workflow where AI can save time or money, then rank by ROI and implementation cost.
Review your existing data, choose the right model(s), and define the integration architecture.
Build a working proof-of-concept in 1–2 weeks so you can test the AI's output quality before committing to a full build.
Full-stack development: API integration, frontend UI, admin controls, logging, and vector database setup.
Accuracy benchmarking, prompt engineering, edge-case testing, and safety/prompt-injection auditing.
Live deployment with a usage dashboard tracking model calls, cost per query, accuracy, and error rates.
Honest answers to the questions every client asks before building an AI product.
Tell us your use case and we'll recommend the right model, architecture, and cost estimate — free, within 24 hours.
20+ AI APIs · Chatbots, RAG, Voice, Image AI · Data privacy options available