Build Intelligent AI Agents for Your Business

Yes, absolutely. We support fully air-gapped on-premises installations on your internal GPU nodes (NVIDIA H100, A100, L40S) using sovereign open-weights models (DeepSeek-V3, Llama 3.3, Mistral Large, Qwen) accelerated by vLLM. No prompt data, training weights, or corporate telemetry ever leave your secure network perimeter.

We implement a multi-layered safety kernel: 1) Hardware-isolated Firecracker microVM sandboxes prevent access to unauthorized systems; 2) Deterministic policy guardrails block destructive operations (such as dropping production tables or unauthorized funds transfers); and 3) Configurable Human-in-the-Loop (HITL) checkpoints require cryptographic human sign-off for actions exceeding predefined risk thresholds.

Our intelligent orchestration layer analyzes every incoming subtask for computational complexity, reasoning depth, and privacy constraints. Fast semantic classifications route to lightweight low-latency models, deep code synthesis routes to specialized models like Claude 3.5 Sonnet or OpenAI o3, and sensitive air-gapped tasks route to local DeepSeek-V3 nodes, saving up to 60% on token expenditures while boosting accuracy.

Our kernel includes production-tested connectors for SAP S/4HANA, Salesforce, ServiceNow, Jira, GitHub/GitLab, Datadog, Slack, Microsoft Teams, AWS, Microsoft Azure, Google Cloud, Stripe, Zendesk, PostgreSQL, Snowflake, and BigQuery. Custom enterprise APIs can be integrated within hours using our OpenAPI and gRPC tool schema generators.

When an agent synthesizes an action designated as high-impact (e.g., executing a database write-back, initiating an ERP payment, or rolling out a canary deployment), the agent pauses execution and generates a human-readable diff and risk summary sent to authorized managers via Slack, Teams, or our enterprise console for instant 1-click approval or rejection.

Each agent is built with self-reflection and adaptive fallback loops. If a tool call fails or an API returns an error status, the agent inspects the stack trace, adjusts its parameters or queries an alternate fallback API, and re-verifies the output. If ambiguity persists beyond allowable thresholds, the task cleanly escalates to human operators with complete diagnostic context.

Standard cloud VPC deployments can be provisioned in as little as 48 to 72 hours using pre-configured architectural templates. Air-gapped on-premises GPU cluster installations with custom model fine-tuning and enterprise ERP integration typically complete within 2 to 3 weeks, accompanied by full SOC 2 compliance verification and staff training.

We enforce strict zero-data-retention agreements across all commercial API endpoints. For cloud deployments, private endpoints (AWS PrivateLink / Azure Private Endpoint) ensure all traffic stays off the public internet. For on-premise deployments, models run in total air-gapped isolation with local vector stores (Qdrant / Milvus) retaining all company IP exclusively within your firewall.

Every enterprise deployment includes 24/7 telemetry monitoring, automated prompt drift detection, proactive LLM updates, and dedicated AI systems engineering support. We provide regular quarterly performance reviews to continuously optimize agent accuracy, execution latency, and token cost efficiency.