Supported LLMs
We implement and support major LLMs—then pick the best fit for your business based on quality, cost, latency, data constraints, and deployment requirements. We also build model-agnostic systems to avoid lock-in.
ChatGPT
Strong reasoning, tooling, and broad ecosystem support—ideal for copilots, RAG, and complex workflows.
Gemini
Excellent multimodal capabilities and scale—useful for document + image workflows and large deployments.
Grok
Useful for realtime-aware analysis and rapid iteration where applicable, depending on your requirements.
DeepSeek
Great value and performance—often a strong choice for cost-sensitive deployments and high throughput.
Model routing
Use different models for different tasks (cheap vs premium) with policies, fallbacks, and reliability controls.
Safety controls
Guardrails, policy checks, PII handling, and secure tool-use—so AI stays within business boundaries.
How we choose the right model
Most companies do better with a small set of models matched to specific tasks. We evaluate quality and cost with a practical test suite and select the best trade-offs for your deployment.
| Factor | What it affects | How we handle it |
|---|---|---|
| Quality | Accuracy, reasoning, compliance | Task-specific evals + regression tests |
| Cost | Per-request spend and scaling | Routing policies + caching + prompt optimization |
| Latency | User experience | Budgeting + streaming + batching |
| Privacy | Data boundaries and risk | RBAC, redaction, governance controls |
| Tool use | Automation safety | Approvals, limits, and audit logs |