AI Infrastructure (MCP SMB) & Business Apps

Detect prompt injection, PII leaks, secrets exposure, and toxic content before they reach your models.

• 4 built-in policies — PII exposure, prompt injection, source code exfiltration, financial data protection. Monitor or enforce mode per policy.
• Risk scoring — Each request returns a risk level (BLOCKED / ALLOWED / LOGGED) with specific violations and remediation recommendations.
• Per-workspace config — Separate guardrail policies per workspace. Audit trail for every evaluation.

Track AI spend by provider, model, team, and project. Set budgets that enforce hard limits.

• Spend breakdown — Costs grouped by provider (OpenAI, Anthropic, Google, NVIDIA), model, team, and project. Filter by day, week, month, or custom range.
• Budget enforcement — Set hard limits or soft alerts (80% warning, 95% critical). Enforce mode blocks requests when budget is exhausted.
• Overspend projection — Estimated month-end spend and projected overage in USD, updated in real time.

Trace visibility for every AI agent call — latency, cost, errors, and decision points in one timeline.

• Session-based tracing — Start/end traces per agent session. Log tool calls, model calls, decisions, errors, PII access, guardrail triggers.
• Cost per trace — Running USD cost for each session, broken down by event. Input/output summaries captured per span.
• Dashboard aggregation — Traces aggregated per workspace with filtering by time, agent, and event type.

Route AI requests across 17+ models from 9 providers. Optimize for cost, quality, or latency — automatically.

• Multi-provider routing — Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, Alibaba, Cohere, xAI. Automatic fallback if primary fails.
• Quality threshold — Set minimum quality score (0-100) per task type: summarization, classification, code generation, chat, analysis, translation, embedding.
• Cost simulation — Simulate routing scenarios before committing. See estimated cost, savings vs premium model, and quality tradeoff.

A quantifiable governance score (0-100) for your AI operations — like a credit score, but for responsible AI.

• 10 evaluation categories — Guardrails, PII protection, injection defense, audit trail, compliance, model governance, cost controls, outcome validation, observability, smart routing.
• Badge system — Platinum (90+), Gold (75-89), Silver (60-74), Bronze (40-59). Shareable badge for stakeholders and auditors.
• Continuous measurement — Score computed from actual usage data, not self-assessment. Improves as you adopt more governance controls.

Persistent, searchable memory for AI agents — facts extracted from conversations, injected into future context automatically.

• Semantic search — Vector search across conversations, facts, and knowledge base entries. Graph relationships via Neo4j.
• Auto-extraction — Facts automatically identified and stored from agent conversations. Manual entry via /remember command.
• Cross-agent persistence — Memory shared across agents in the same workspace. System prompt injection ensures continuity between sessions.

Runtime security controls for AI workloads — input sanitization, response hardening, and compliance audit trail.

• Input sanitization — Strip injection patterns and unsafe content before reaching LLM backends. Configurable per workspace.
• Audit logging — Every API call, governance decision, and data access logged with timestamp, actor, and result. Exportable for SOC 2 and GDPR.
• Response hardening — Security headers on all API responses. Data classification enforcement at the gateway level.

Deploy A2A-protocol agents with public discovery and structured task management — no infrastructure to manage.

• A2A Protocol v0.3 — JSON-RPC 2.0 compliant. tasks/send, tasks/sendSubscribe (SSE), tasks/get, tasks/cancel. Standard task lifecycle.
• Public discovery — Auto-generated /.well-known/agent-card.json for agent registry compatibility. Your agent is findable by other A2A agents.
• Built-in governance — Rate limiting, audit logging, and guardrail integration. 5 governance-focused skills included.