AI & Machine Learning Services

A proof-of-concept typically takes 4-6 weeks. Production deployment ranges from 3-6 months depending on complexity, data readiness, and integration requirements. We always start with a discovery phase to set realistic timelines.

Yes. We integrate with your existing data warehouses, lakes, and pipelines. Whether you use Snowflake, BigQuery, Databricks, or custom infrastructure, our engineers have experience connecting ML workflows to enterprise data systems.

We work with all major model providers including OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), and open-source models (Llama, Mistral). We also fine-tune and deploy custom models when off-the-shelf solutions don't meet your requirements.

Data security is built into every engagement. We use encrypted connections, follow least-privilege access principles, and can work within your VPN or cloud environment. We sign NDAs and can accommodate specific compliance requirements (HIPAA, SOC 2, GDPR).

Our senior AI engineers work at nearshore rates — typically 40-60% less than US-based AI talent. We offer both project-based pricing and monthly retainer models. Contact us for a custom quote based on your specific needs.