Every Major AI Model. One Team.
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.
Every AI Model We Work With
We are model-agnostic — we integrate the right AI for your specific problem. Here's every API we have production experience with.
OpenAI
The world's most widely used AI API. Powers intelligent chatbots, document Q&A, summarisation, code generation, and complex reasoning tasks.
Key Capabilities
- Best-in-class reasoning and accuracy
- Vision input (GPT-4o can analyse images)
- Function calling for tool integration
- Fine-tuning on your own dataset
- 128K context window
Best For
Anthropic Claude
Anthropic's safety-first AI. Exceptional for long-document analysis, nuanced reasoning, and tasks requiring careful, step-by-step thinking.
Key Capabilities
- 200K token context window
- Exceptionally good at following instructions
- Safety-aligned and less prone to hallucinations
- Ideal for legal, medical, and financial content
- Strong coding and analysis capabilities
Best For
Google Gemini
Google's frontier model built for multi-modal tasks. Processes text, images, audio, video, and code natively — with a massive 2M token context.
Key Capabilities
- 2M token context window (longest available)
- Native multi-modal: text, image, audio, video
- Seamless Google Cloud and Vertex AI integration
- Competitive pricing for high-volume usage
- Strong at structured data extraction
Best For
DeepSeek
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.
Key Capabilities
- GPT-4 level quality at ~10x lower cost
- DeepSeek-R1 for chain-of-thought reasoning
- DeepSeek-Coder specialised for code tasks
- Self-hostable for data sovereignty
- 128K context window
Best For
Mistral AI
Europe's leading AI lab producing highly efficient models. Mixtral's Mixture-of-Experts architecture delivers top performance with low latency.
Key Capabilities
- Mixture-of-Experts for high throughput
- GDPR-compliant European infrastructure
- Codestral optimised for code completion
- Self-hostable open-weight models
- Excellent cost-to-performance ratio
Best For
Meta Llama
Meta's fully open-weight models — deploy on your own infrastructure for zero API costs and complete data control. Ideal for privacy-critical applications.
Key Capabilities
- 100% free to use and self-host
- Full data privacy — nothing leaves your servers
- Llama 3.1 405B rivals top commercial models
- Active open-source ecosystem
- Runs on AWS, GCP, or on-premise
Best For
xAI Grok
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.
Key Capabilities
- Real-time access to X/Twitter data stream
- Handles current events without cutoff issues
- Strong at creative and humorous writing
- Multi-modal vision capabilities
- Access via xAI API or X Premium
Best For
Cohere
Purpose-built for enterprise Retrieval-Augmented Generation (RAG). Cohere's Embed and Rerank models are the industry standard for semantic search.
Key Capabilities
- Best-in-class embedding models for vector search
- Rerank API improves retrieval accuracy dramatically
- Command R+ optimised for RAG pipelines
- Enterprise SLAs and data privacy
- Multilingual embeddings (100+ languages)
Best For
Groq
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.
Key Capabilities
- 500–800 tokens/second (fastest available)
- Near-zero latency for real-time applications
- Runs Llama, Mixtral, and Gemma models
- Transparent, predictable pricing
- Drop-in replacement for OpenAI API
Best For
Perplexity AI
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.
Key Capabilities
- Real-time web search built into every response
- Automatic source citations and references
- Up-to-date knowledge with no training cutoff
- Sonar Reasoning for complex research tasks
- Cost-effective for search-augmented apps
Best For
AI Products & Integrations
From a simple chatbot to a full AI-powered SaaS — here's what we deliver.
AI Chatbots & Assistants
Custom GPT-powered bots for customer support, internal knowledge bases, lead qualification, and 24/7 FAQ handling — fully trained on your data.
Document Intelligence
Upload contracts, invoices, PDFs, or emails and extract structured data, summaries, and insights automatically using vision and LLM APIs.
AI-Powered Dev Tools
Code review bots, auto-documentation generators, debugging assistants, and IDE integrations built on GPT-4, DeepSeek Coder, or Codestral.
Voice AI Applications
Real-time voice assistants, call transcription systems, podcast tools, and speech-to-action apps using Whisper, ElevenLabs, and Deepgram.
AI Image & Video Tools
Bulk image generation pipelines, product photo tools, DALL-E integrations, Stable Diffusion apps, and visual content automation systems.
Business Intelligence AI
Natural language querying of your databases, automated reporting, anomaly detection, and predictive analytics dashboards.
Workflow Automation
AI-driven n8n or Zapier replacements that route, classify, and process data without human intervention — reducing manual work by 60%+.
RAG Knowledge Systems
Retrieval-Augmented Generation systems that let your team ask questions of your entire document library in plain English.
AI SaaS Products
Full-stack SaaS platforms with AI at their core — multi-tenant, subscription-billed, and built on Next.js, Node.js, and your chosen model.
What Makes Our AI Different
We don't bolt on ChatGPT and call it AI. We build production-grade AI systems that actually work in the real world.
Model-Agnostic Architecture
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.
Enterprise Security
SOC 2-conscious design with API key rotation, rate limiting, prompt injection guards, and PII redaction before data hits any model API.
Data Privacy Options
For sensitive industries we deploy open-source models (Llama, Mistral) on your own cloud — your data never leaves your infrastructure.
Measurable ROI
We track accuracy, latency, cost per query, and user satisfaction from day one — so you can prove the AI investment to stakeholders.
Full-Stack Delivery
Backend AI layer, frontend chat UI, admin dashboard, vector database, and CI/CD pipeline — all delivered as a working product.
Human-in-the-Loop Design
We always design AI systems with override controls, confidence thresholds, and escalation paths — AI augments your team, doesn't replace oversight.
Our AI Development Process
From idea to live AI product — a structured process that validates accuracy before you commit to a full build.
Use Case Discovery
We map every workflow where AI can save time or money, then rank by ROI and implementation cost.
Data & Model Audit
Review your existing data, choose the right model(s), and define the integration architecture.
Rapid Prototype
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.
Production Build
Full-stack development: API integration, frontend UI, admin controls, logging, and vector database setup.
Fine-Tuning & Testing
Accuracy benchmarking, prompt engineering, edge-case testing, and safety/prompt-injection auditing.
Deploy & Monitor
Live deployment with a usage dashboard tracking model calls, cost per query, accuracy, and error rates.
Common AI Questions
Honest answers to the questions every client asks before building an AI product.
Ready to Add AI to Your Business?
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