AI Platforms
- Claude & GPT enterprise APIs
- Google Gemini
- Open-source LLMs (Llama, Mistral)
- RAG & agent architectures
- Fine-tuning & model distillation
Technology
Vendor-neutral and enterprise-ready. We recommend the platforms that fit your constraints — security, compliance, budget, and the skills your teams already have — not the ones that pay referral fees.
Agents & Orchestration
- Claude Agent SDK & MCP
- LangChain & LlamaIndex
- Multi-agent workflows
- Tool use & function calling
- Human-in-the-loop design
Cloud AI Services
- AWS Bedrock
- Azure AI Foundry
- Google Vertex AI
- Private & on-prem deployment
- GPU infrastructure & inference serving
Data Platforms
- Snowflake & Databricks
- PostgreSQL
- Vector databases (pgvector, Pinecone, Qdrant)
- Modern data pipelines
- Data quality & cataloging
MLOps & LLMOps
- Prompt management & versioning
- Evaluation pipelines & benchmarks
- Observability & tracing (LangSmith, Langfuse)
- CI/CD for AI systems
- Cost & latency optimization
Integration & Automation
- ERP & CRM integration
- Workflow automation
- APIs & event streaming
- Low-code platforms
- Document processing & OCR
Analytics & Intelligence
- BI platforms (Power BI, Tableau, Looker)
- Predictive analytics & forecasting
- Natural-language analytics
- Real-time dashboards
Governance & Security
- Model evaluation & monitoring
- Access control & audit trails
- PII protection & compliance
- Responsible AI tooling
- EU AI Act & ISO 42001 readiness
How we choose
Every recommendation earns its place: proven at enterprise scale, backed by strong vendor ecosystems, and maintainable by your own teams — so you're never locked in to us or to any single provider. We reassess the landscape quarterly, because in AI, this year's default is next year's legacy.