Secure deployment
Threat-modeled architectures. Prompt-injection, data exfiltration, and tool-abuse mitigations are part of the design — not a follow-up.
ArchitectureThe reference architecture
The reference architecture
we build on.
A layered system designed for separation of concerns, secure deployment, and replaceable parts — so your AI systems stay adaptable as models, tools, and business requirements change.
WHO THIS IS FORFor CTOs, CIOs, security teams, and technical stakeholders evaluating how AI systems fit into existing enterprise environments.
06 — ArchitectureThe reference architecture
The reference architecture
we build on.
A layered system designed for separation of concerns, secure deployment, and replaceable parts — so your AI systems stay adaptable as models, tools, and business requirements change.
Web Copilots
Desktop / IDE
Slack · Teams
Embedded Widgets
Agent Orchestrator
Tool Router
Memory · Sessions
Eval · Guardrails
LLM ProvidersGPT · Claude · Gemini · Llama
Vector Databasepgvector · Pinecone · Weaviate
MCP ServersTool & data exposure
Embedding Models
ERP · CRM · ITSM
Data Warehouse
Document Stores
Email · Calendar
AWS · Azure · GCP
Identity · SSO · RBAC
Audit · Observability
Secrets · KMS
08 — Enterprise ReadinessBuilt for the way
Built for the way
enterprises actually deploy.
Security, governance, and reliability are the table stakes — not the upsell. Every system we ship arrives with these eight properties on day one.
Role-based access
SSO, RBAC, and fine-grained permissions. AI assistants respect every ACL your source systems enforce.
Private deployment
Deployed in your AWS, Azure, or GCP tenant. Data and inference stay inside your perimeter.
Governance-aware workflows
Policy enforcement, content controls, and escalation rules wired into every agent and copilot.
Auditability & traceability
Every prompt, retrieval, tool call, and approval — captured, replayable, exportable. Regulator-ready.
Human-in-the-loop approvals
Agents escalate. Humans approve. Configurable thresholds for risk, cost, and customer impact.
Evaluation pipelines
Regression suites, eval harnesses, and quality gates that run on every prompt, retriever, and agent change.
Observability
Latency, quality, cost, and drift — instrumented from day one. Dashboards your team can act on.
DEPLOYED ON
AWSAzureGCPKubernetesTerraformPostgreSQL · pgvectorPineconeOpenAI · Anthropic · Google · LlamaOkta · Azure ADDatadog · OpenTelemetry