Build With Generative AI.

We work with all major foundation models including GPT-4o, Claude 4, Gemini Pro, Llama 3, Mistral, and Cohere. For image generation, we use DALL-E 3, Stable Diffusion XL, and Midjourney API. We recommend the best model for your use case based on quality, cost, latency, and data privacy requirements.

Every system includes content safety guardrails — toxicity filtering, PII redaction, hallucination detection, and brand-safe output validation. We use NeMo Guardrails, custom classifiers, and human-in-the-loop review for high-stakes applications. Our systems achieve 99.5%+ content safety rates.

Yes. We fine-tune both open-source models (Llama, Mistral) and commercial models (GPT-4o, Claude) on your domain data using LoRA and QLoRA techniques. Fine-tuning improves accuracy, reduces costs, and ensures outputs match your brand voice and domain terminology.

Costs start at $19,000 for a focused chatbot or content generation tool to $112,000+ for complex multi-model systems with custom fine-tuning. Ongoing LLM API costs start at $375/month depending on volume. We optimize for cost from day one with caching, batching, and intelligent model routing.

Absolutely. We integrate AI capabilities into your existing tech stack via APIs, webhooks, and event-driven architectures. Whether it is adding AI search to your SaaS product, automating content in your CMS, or building an internal knowledge assistant, we fit AI into your workflows.

We implement automated evaluation pipelines using Ragas, DeepEval, and custom metrics. This includes factual accuracy scoring, relevance measurement, hallucination detection, and user satisfaction tracking. Every project includes A/B testing frameworks and performance dashboards.