Productivity

Anuma

A private multi-model AI chat platform with persistent, user-owned memory.

5.0/5 Rating

About Anuma

Anuma is a private multi-model AI chat tool designed to give users complete ownership and control over their conversational memory. It enables seamless switching between different AI models—including leading and open-source options—without losing context or requiring repetitive explanations. The core innovation is a unified, persistent memory layer that travels across models, sessions, and AI agents, eliminating fragmentation and preserving continuity. This user-centric approach ensures privacy through local-first, encrypted architecture that never logs, stores, or trains on user data. When deployed via AiDOOS, Anuma gains enterprise-grade governance, scalability, and integration capabilities. AiDOOS manages secure deployment, enforces data privacy policies at scale, integrates Anuma into broader business workflows, optimizes model selection based on performance outcomes, and scales usage across global teams—transforming a personal productivity tool into a governed, enterprise-ready AI asset with full audit trails and compliance oversight.

Challenges It Solves

Fragmented AI conversations lose context when switching models
Corporate AI platforms retain and train on user data, compromising privacy

Proven Results

70%

Reduced repetitive explanations across AI models

100%

User-owned memory with zero corporate data retention

Key Features

Core capabilities at a glance

Unified Memory Layer

Context persistence across AI models

Eliminates 70% of repetitive setup in multi-model workflows

Privacy-First Architecture

Local-first encrypted data handling

Ensures 100% user data ownership with no corporate logging

Multi-Model Interoperability

Seamless switching between AI providers

Increases team flexibility and reduces vendor lock-in by 40%

Ready to implement Anuma for your organization?

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Real-World Use Cases

See how organizations drive results

Cross-Model Research & Analysis

Researchers compare outputs from different AI models on the same dataset without losing query context.

Faster comparative analysis with consistent context

Private AI-Assisted Documentation

Teams create sensitive technical documentation using various AI assistants while maintaining full data privacy.

100

Zero corporate data retention on proprietary information

Integrations

Seamlessly connect with your tech ecosystem

OpenAI Models

Explore

Direct compatibility with leading AI models for seamless context switching

Open-Source AI Models

Explore

Support for community-driven models while maintaining unified memory layer

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

Discover

Requirements & assessment

Integrate

Setup & data migration

Validate

Testing & security audit

Rollout

Deployment & training

Optimize

Performance tuning

See how it works for your team

Schedule a Meeting

Alternatives & Comparisons

Find the right fit for your needs

Capability	Anuma	Conjecture	AIQ	Labeling AI
Customization	Good	Excellent	Good	Excellent
Ease of Use	Fair	Good	Good	Good
Enterprise Features	Poor	Good	Excellent	Excellent
Pricing	Good	Fair	Fair	Fair
Integration Ecosystem	Poor	Good	Excellent	Excellent
Mobile Experience	Poor	Poor	Fair	Fair
AI & Analytics	Excellent	Excellent	Excellent	Excellent
Quick Setup	Good	Fair	Good	Good

Frequently Asked Questions

How does Anuma maintain context across different AI models?

Anuma uses a unified memory layer that persists independently of the AI model, allowing seamless transitions without context loss. When managed through AiDOOS, this memory layer receives additional governance controls and audit capabilities.

Is my data truly private with Anuma?

Yes. Anuma employs local-first encryption and never logs, stores, or trains on your data. AiDOOS enhances this with enterprise-grade security policies and compliance monitoring for organizational deployments.