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IIMAGINE

IIMAGINE tests AI models against your own work, then routes each task to whichever model performs best on quality, cost and speed. A context engine layered on top pulls in your objectives and deadlines so advice reflects your actual situation, alongside agents, data governance rules and local model options. It's built for non-technical business owners, not ML engineers.

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IIMAGINE screenshot
IIMAGINE screenshot

IIMAGINE argues that generic AI benchmarks are less useful than testing models on a person's own work. Its Model Testing feature lets someone run their own tasks, such as a contract review, across multiple models from providers like OpenAI, Anthropic and open-source labs, and scores the results on quality, speed and cost so the comparison reflects real use rather than a published leaderboard.

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From those results, an Intelligent Router can be created in one click. It automatically sends each new task to whichever model best matches a user's weighted preferences for quality, cost and speed, removing the need to switch models manually for different kinds of work.

Sitting underneath both features is what IIMAGINE calls its Unified Context Engine. It connects to sources like Google Drive, Gmail and Sheets and classifies that data against what the platform calls the SCOPED framework: status, challenges, objectives, priorities, enablers and deadlines. The premise is that AI advice grounded in this kind of context is more useful than a plain data lookup, since a user's data alone doesn't fit into a model's context window or explain what actually matters to them.

Users can also create agents from templates covering functions such as accounting, legal, real estate, e-commerce or content creation, give them access to services like Google, Microsoft or QuickBooks, and assign them tasks on a shared board alongside human team members, with approval steps where needed. Data governance rules apply the same access boundaries to people, agents and models, so a role can be blocked from client files, payroll or case notes regardless of who or what is asking.

For sensitive work, IIMAGINE can run open-source models locally so data never leaves the device, or route requests to an organization's own cloud account for larger models such as GPT, Claude or Gemini. It integrates with Google, Shopify, Slack and Microsoft 365. There's a free plan to start with no credit card required, and paid plans begin at $29 a month with credits included.

IIMAGINE positions itself toward business decision-makers rather than developers: setup is guided, with no coding, API keys or configuration files required.

  • CategoryMachine Learning Platforms
  • Pricing ModelFree Tier
  • DeploymentCloud, Runs locally
  • PlatformsWeb

  • Model Testing runs your own tasks across GPT, Claude, open-source and other models to compare quality, speed and cost

  • Intelligent Router automatically sends each task to the best-fitting model based on test results and weighted preferences

  • Unified Context Engine classifies connected data (Google Drive, Gmail, Sheets) by objectives, priorities and deadlines

  • Agent creation from templates for functions like accounting, legal, real estate and e-commerce

  • Agents and humans share the same task board, with optional approval steps

  • Data governance rules apply identical access boundaries to team members, agents and models

  • Local AI mode runs open-source models on-device for work that can't leave the building

  • Access to organization-approved cloud accounts for larger models when needed

  • Integrates with Google, Shopify, Slack, Microsoft 365 and QuickBooks

  • Guided setup with no coding, API keys or configuration files required

  1. Create a free account: Sign up with no credit card required.

  2. Run model tests: Try a task like a contract review across several models and compare quality, cost and speed.

  3. Build your router: Set weighted preferences for quality, cost and speed, then create an intelligent router.

  4. Connect your data: Link Google Drive, Gmail or Sheets so the context engine can classify it against your objectives.

  5. Create agents: Start from a template, connect third-party accounts, and assign tasks alongside your team.

  6. Set access rules: Define what each person, agent and model can see, such as client files or payroll.

  • Model cost comparison
  • Automatic model routing
  • Context-aware business advice
  • Department AI agents
  • Private, on-device AI

IIMAGINE Reviews

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