We are not locked into any AI vendor's ecosystem. For each workflow, we select the foundation model that produces the best outcome — whether that is Claude, Gemini, Codex, or open-source — then integrate it into your actual systems.
Most AI consultancies are certified partners of one cloud provider. Their recommendation is predetermined. Ours is not.
We evaluate each workflow independently. Complex reasoning tasks, multimodal needs, code generation, and sensitive data environments each have different optimal models. We match them correctly.
When you are locked into one vendor, you absorb every price change and service interruption. Model-agnostic architecture lets us migrate to a better model when one becomes available without rebuilding your workflow.
Federal agencies, healthcare organizations, and financial firms often cannot send data to third-party API endpoints. We deploy open-source models on your own infrastructure — air-gapped if required.
OMB M-26-04 requires agencies to evaluate LLM vendors on unbiased AI principles, model cards, and bias evaluations. We perform this vetting for each model we deploy in government environments.
We maintain active deployment experience with each category and evaluate new models as they release. What you see below reflects our current assessment — it updates as the field moves.
Every model selection follows the same evaluation framework. We document the rationale in the SOW so you understand exactly what you are buying and why.
Tell us what you're trying to automate. We'll recommend the right model, scope the engagement, and give you a fixed price before you commit to anything.