Technology Partners
Platform-proven.
The right tool for the problem.
We recommend what works for your environment, not what comes with a partner discount. That said, we maintain deep expertise and partnerships with the platforms that matter most in federal and enterprise AI.
Talk to Our Team →Featured Partner
AWS is our primary cloud partner for federal and enterprise AI deployments. Our team has hands-on production experience across the full AWS AI services stack, from model deployment to data pipeline architecture.
AWS Bedrock
Managed LLM deployment for Claude, Titan, and third-party foundation models. Our preferred path for production LLM workloads requiring data residency controls.
Amazon SageMaker
Model training, fine-tuning, and inference infrastructure. Used for custom model development where foundation models need domain-specific adaptation.
AWS Lambda
Serverless AI inference and orchestration. Scales to zero between invocations, ideal for event-driven agent pipelines and cost-sensitive deployments.
S3 and AWS Glue
Data lake architecture and ETL pipelines for AI-ready data. The foundation of most RAG and fine-tuning data workflows we design.
AWS GovCloud
FedRAMP High authorized. Supports IL4 and IL5 workloads. The standard deployment target for federal AI systems requiring compliance with NIST and DoD security frameworks.
AI Platforms
Each platform below represents real production deployments, not evaluations. We know where each excels and where it falls short.
Anthropic
Our primary LLM for enterprise and federal deployments. Claude’s Constitutional AI approach, long context window, and strong instruction-following make it the right choice for high-stakes document processing and agent reasoning tasks.
OpenAI
GPT-4o and the o-series reasoning models cover a wide range of production use cases. Azure OpenAI provides the government-accessible path with FedRAMP authorization and data residency guarantees required for federal workloads.
Palantir
The data integration and ontology platform of record for many federal and defense programs. When your organization already runs on Foundry, we build AI workflows natively on top of it rather than around it.
Google Cloud
Gemini model access and managed ML infrastructure for organizations already in the Google Cloud ecosystem. Vertex AI’s MLOps tooling covers the full model lifecycle from training to serving.
Infrastructure & Tools
These are tools we have deployed in production. Not everything on every project. The right subset for the right problem.
Agent Frameworks
Vector & Search
Data & Orchestration
Development
Tell us what you’re working with. We’ll tell you what we can build on top of it, and where we’d recommend changes.