Generative AI Development Company

GenAI pricing depends on use case complexity, data volume, model choice, and engagement model. We offer fixed-cost projects, nearshore teams, dedicated teams, and custom quotations. Most engagements are scoped per project with transparent, upfront pricing including expected token costs at scale.

Four primary models: Fixed Cost Projects for well-defined scope, Nearshore Teams for time-zone-aligned delivery, Dedicated Teams for long-term GenAI investment, and Custom Quotations for complex, regulated, or hybrid engagements. We'll recommend the right fit during discovery.

All of them. We're model-agnostic and recommend foundation models based on your use case quality, latency, cost, data residency, and compliance requirements. We work fluently with GPT-4 and GPT-4o, Claude 3.5 and 4, Gemini, Llama, Mistral, and other open-source models.

Yes RAG is one of our most common engagements. We design end-to-end retrieval-augmented generation systems with chunking, embeddings, vector storage, retrieval, re-ranking, and grounded generation including evaluation, citation, and access controls.

Every GenAI system we ship includes an evaluation suite. We measure faithfulness, accuracy, hallucination rate, and bias before launch and continuously in production. Guardrails, retrieval grounding, and structured output formats reduce hallucinations at the architecture level.

Yes. We fine-tune models when it produces measurably better results than prompting alone supervised fine-tuning, parameter-efficient tuning (LoRA), and alignment work. We also know when fine-tuning isn't the right answer and will tell you so.

Generative AI privacy and compliance are first-class concerns. We support private VPC deployments, customer-managed keys, no-data-retention model configurations, PII redaction, audit logging, and compliance frameworks including HIPAA, GDPR, SOC 2, and PCI DSS.

Yes AI cost optimization is a frequent rescue engagement. We audit prompts, implement model routing, caching, batching, and prompt compression. Most engagements cut token costs 40 to 70% without quality loss.

Yes. You own 100% of the prompts, code, fine-tuned models (where applicable), and documentation. No vendor lock-in. Your GenAI codebase lives in your GitHub organization from day one and can be operated entirely by your team after handoff.

Yes. Custom integrations are a core part of GenAI development. We build reliable, observable connectors between your generative AI features and existing systems CRMs, ERPs, knowledge bases, data warehouses, and internal APIs.