Supervised Autonomous
Intelligence
Give AI Agents the power to autonomously build organizational context, adapt through continuous learning, and collaborate as collectives — all under human supervision.
See the platformTHE PLATFORM
A complete control plane for
intelligent AI agents
Build, deploy, and manage AI agents with persistent memory, decision intelligence, and multi-agent coordination.
Command Center Dashboard
Agent Studio
Workflow Builder
Multi-Agent Collectives
Memory Stores
4 memory types for comprehensive context
Decision Graphs
Visual reasoning chains and logic
Analytics
Usage, performance, and cost tracking
Settings & RBAC
Team management and access control
THE PROBLEM
Your AI agents are forgetting
everything they learn
Every conversation starts from zero. Context is lost. Insights disappear. Your organization keeps paying to re-teach the same lessons.
95%
Enterprise AI Pilots Fail
Due to context loss and inability to learn from past interactions
$12B
Annual Losses
From hallucinations and manual workflow corrections
30%
Cite Inaccuracy as #1 Risk
Enterprises rank AI inaccuracy as their top deployment concern
No Contextual Learning
Chat interactions are stored, but relationships aren't inferred, org priorities aren't captured, decisions and next steps aren't understood.
No Adaptive Improvement
Organization-specific parameters are lost when models change, driving future cost and efficiency issues. Heavy reliance on base LLM capabilities.
No Collective Intelligence
Multiple agents working without goal alignment waste effort, slow down responses, and reduce accuracy. No coordination or shared learning.
THE IMPACT
What this costs your business
Missed Insights
Without organization-specific context, AI agents fail to surface insights unique to how your organization operates. Critical patterns go undetected.
Decision Fatigue
Lacking awareness of business goals and constraints, agents generate too many low-value outputs, increasing review burden and slowing your teams.
Impractical Recommendations
Generic suggestions fail to account for your real-world architectures, workflows, and constraints — making them impossible to act on.
THE SOLUTION
Engrami: The autonomous
intelligence layer
Enable your AI agents to learn from experience and adapt automatically to your organization — while operating within defined business rules.
Autonomous Intelligence Layer
Memory Intelligence
Semantic, Procedural, Episodic, Working Memory
Long-term memory that stores what the org knows, what agents can do, and what happened before.
Agent Decision Graph
Decision & Context Graphs
Decides when to use what action based on constraints and context provided by memory.
Parametric Intelligence
Prompt Optimization + Fine-tune + RL
Continuously updates agents with learnings from executions through automated optimization.
Collective Intelligence
Multi-Agent Coordination
Autonomous coordination and workload distribution between agents with goal alignment.
FEATURES
Everything you need to build
truly intelligent agents
4 Memory Types
Semantic graphs for domain knowledge, episodic memory for past executions, procedural memory for skills, and decision graphs for reasoning chains.
Enterprise Security
SOC 2 compliant with complete data isolation. Your data stays in your VPC — we only store metadata and configurations.
Continuous Learning
Agents improve automatically through DSPy prompt optimization, LoRA fine-tuning, and online reinforcement learning from production data.
Multi-Agent Collectives
Orchestrate multiple agents with auto load balancing, game-theory consensus for conflict resolution, and Shapley value cost attribution.
Grounded Generation
Prevent hallucinations with real-time validation against knowledge graphs and automatic self-correction prompts.
40+ Integrations
Connect to Slack, Teams, JIRA, Confluence, GitHub, Salesforce, and more. Capture decisions from your existing tools.
HOW IT WORKS
From stateless to intelligent
in three steps
Connect Your Agents
Integrate with your existing AI agents through our SDK. Works with OpenAI, Anthropic, or any LLM.
Build Organizational Memory
Engrami extracts and stores domain knowledge, decisions, procedures, and patterns from your data.
Deploy & Improve
Your agents learn continuously, remember context, avoid past mistakes, and get better with every interaction.
10x
Faster Context
85%
Less Hallucination
50%
Cost Reduction
24/7
Continuous Learning
GET IN TOUCH
Let's discuss your AI strategy
Talk to our team about how Engrami can help your organization build truly intelligent AI agents.
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