The brain behind intelligent enterprise AI
Enterprise Context Framework (ECF) Engine powers Kolossus with deep contextual understanding, multi-model orchestration, and real-time reasoning across your entire enterprise.
Context Analysis
Real-time reasoning engine
"What was our Q4 revenue and how does it compare to last year?"
Context Sources
Salesforce
24 records
Drive
8 docs
Snowflake
156 rows
Q4 revenue was $12.4M, representing a 23% increase compared to Q4 last year ($10.1M).
Powering enterprise AI
at scale.
The ECF Engine is the foundation that makes Kolossus uniquely powerful for enterprises.
The ECF Engine builds deep contextual understanding by analyzing relationships between data across all your enterprise systems. It understands not just what data says, but what it means in your specific business context.
Contextual Understanding
User asks:
"Who should I contact about the Acme deal?"
Acme Corp - $2.4M opportunity
Recent discussions in #sales
Email thread with John (AE)ECF understands:
John Smith is the Account Executive. He last contacted Acme 3 days ago about pricing.
From data to intelligent answers
See how the ECF Engine transforms your enterprise data into actionable intelligence
Connect all your enterprise data sources
The ECF Engine securely connects to your existing tools and databases. It indexes and understands your data structure while maintaining strict security and access controls.
- 200+ pre-built connectors
- Real-time sync capabilities
- Zero data duplication
Connected Sources
Salesforce
Slack
Drive
Snowflake
Jira
HubSpot
Knowledge Graph
12.3M
Connections
847K
Patterns
156
Entities
AI builds your knowledge graph
The engine creates a contextual graph of relationships, patterns, and domain knowledge specific to your organization. It understands how your data connects and what it means in your business context.
- Automatic entity recognition
- Relationship mapping
- Continuous learning
Intelligent query understanding
When users ask questions, the engine analyzes intent, retrieves relevant context from across all sources, and routes to the optimal AI model based on the task requirements.
- Natural language understanding
- Multi-source retrieval
- Smart model routing
User Query
"What were our top-performing products in Q4 and which sales reps closed the most deals?"
Intent Analysis
Sales performance + Top performers
Context Retrieval
Salesforce, Snowflake, HubSpot
Model Selection
GPT-4 for complex analysis
Based on Q4 data, your top 3 products were:
| Product | Revenue | Growth |
|---|---|---|
| Enterprise Suite | $4.2M | +32% |
| Pro Platform | $2.8M | +18% |
| Starter Plan | $1.4M | +45% |
Top performers: Sarah Chen ($1.8M), Mike Johnson ($1.2M), and Lisa Park ($980K) closed the most deals.
Accurate answers with full context
Responses are generated with complete enterprise context, ensuring accuracy and relevance. Every answer includes source citations so users can verify and explore further.
- Contextual accuracy
- Source citations included
- Actionable insights
Connect any data source
200+ pre-built connectors for seamless integration
AWSSalesforceSlack
GitHubJiraGoogle Drive
AzureHubSpotSnowflake
Teams
Oracle
TableauAWSSalesforceSlackGitHubJiraGoogle DriveAzureHubSpotSnowflakeTeamsOracleTableau
MongoDB
PostgreSQL
Dropbox
GitLab
SharePoint
Outlook
SAP
OneDrive
Power BI
MySQL
Google Cloud
ZendeskMongoDBPostgreSQLDropboxGitLabSharePointOutlookSAPOneDrivePower BIMySQLGoogle CloudZendesk
BigQuery
Dynamics 365S3SlackSalesforceJiraGitHubTeamsGoogle DriveHubSpotSnowflakeAzureBigQueryDynamics 365S3SlackSalesforceJiraGitHubTeamsGoogle DriveHubSpotSnowflakeAzureTableauOracleMongoDBPostgreSQLDropboxGitLabSharePointSAPPower BIOneDriveOutlookMySQLTableauOracleMongoDBPostgreSQLDropboxGitLabSharePointSAPPower BIOneDriveOutlookMySQLExperience the ECF Engine
See how the Enterprise Context Framework powers intelligent AI for your organization.