| What it does | Build, deploy, and scale autonomous AI agents with expert human oversight
| An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
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| Stage | Established
| MVP
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| Founded | 2021
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| Based in | US
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Fixed monthly subscription with custom pricing based on user licenses and needs. No hidden fees, annual subscriptions with monthly payments. 2-day expert-led discovery workshop costs are 100% credited toward subscription pricing.
| Prototype: free during beta, then from December 16, 2026 it costs $1 per 1,000 agent calls after 1,000 monthly included calls. Production: $20 a month with 20,000 agent calls included, then $1 per 1,000 calls after that. Top-ups: $1 per 1,000 calls, from $10 to $500 at a time, never expiring.
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| Key features | - Enterprise Context Engine™ to structure organizational knowledge for AI decisions
- Agentic AI agents that scan, test and act on data on schedule or on demand
- No data migration required; connects to existing systems
- 700+ prebuilt data connectors and integrations
- Deployment on AWS, Azure, or GCP with flexible hosting options
- Enterprise compliance: SOC 2 Type II, HIPAA, GDPR, ISO 42001
- Model-agnostic platform working with existing enterprise infrastructure
- Compounding Intelligence where each solution builds on the last
- Transparent and auditable workflows with full lineage tracking
- Expert-led 2-day discovery workshops with PhD-level data scientists
| - Prompt rebuilt from journal under token cap at each step to keep it bounded as history grows
- Spending limits checked before each model call at token prices you declare
- Resume after crash without repeating finished actions
- Tool calls returned as actions for your code to carry out
- Proof of what ran: check prompts, re-run engine, download hash-chained journal
- Integrations with Vercel AI SDK, OpenAI Agents SDK, LangGraph, Mastra, Pydantic AI
- MCP server for Claude Code, Claude Projects and Codex
- Works with any model via bring-your-own-key
- TypeScript and Python clients for HTTP API access
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| What makes it different | - Hybrid Approach™ pairing agentic AI with human expert oversight for accountability
- Production-ready AI in weeks, not months
- 70% faster from start to go-live year over year
- Outcome-based guarantees and PoC engagements for risk-free transformation
- Full platform access for unlimited solution creation and deployment
| - Bounded prompt under a fixed cap while history grows, so costs per call stop climbing on long sessions
- Every run recorded with cryptographic proof: rebuilable prompts, hash-chained journal, re-runnable engine
- Resumes from crash without repeating finished actions using stable idempotency keys
- Budget enforcement before each model call, not reactive overage billing
- No model key storage or logging; your provider bills you directly
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 39 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 13 | 0 |
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| Citation Flow (Majestic) | 37 | 9 |
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| Referring domains (Majestic) | 331 | 4 |
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RapidCanvas
Argentic