Platform & Architecture
We bring the AI to your data, not your data to the AI
Every Brainlikes agent stands on two things: a Data Intelligence layer that understands your business, and a sovereign deployment that keeps it under your control.
The Data Intelligence layer
One brain for documents and databases
Most enterprise knowledge sits in two places: unstructured content such as contracts, emails and policies, and structured data in ERP, CRM and the data warehouse. Our Dual-Brain architecture joins them. Retrieval handles the documents, a governed semantic layer turns questions into safe, schema-aware SQL, and an agentic orchestrator combines both into one answer.
Semantic
Vector retrieval over documents, email and knowledge bases
Orchestrator
Plans, routes and reconciles across both sides
Structured
Governed SQL over ERP, CRM and the warehouse
The reasoning loop
Unlike chatbots that just respond, our agents reason
- 1
Perceive
Takes in the request together with business context from your systems.
- 2
Plan
Breaks the goal into steps and chooses the right tools and data.
- 3
Act
Runs governed SQL, searches your knowledge, and calls your APIs.
- 4
Reflect
Checks results for gaps and inconsistencies, and corrects course.
- 5
Respond
Delivers a sourced answer or completes the action, with a full audit trail.
Sovereign by default
Security and control, built in
Your models, your network, your logs. Swap model providers as the market moves without rebuilding your agents.
- ✓Deployment inside your cloud account, VPC or on-premises
- ✓Private networking to models, with no data on the public internet
- ✓Role-based access control for agents and the data they can reach
- ✓PII redaction and policy guardrails
- ✓Complete reasoning and action logs, stored where you choose
- ✓Continuous evaluation, red-teaming and model monitoring
Technology
On the cloud you already trust
Microsoft Copilot Studio
Copilots and agents inside your Microsoft 365 tenant, grounded in Dataverse and connected through MCP.
AWS Bedrock AgentCore
Agents running in your AWS account, with Redshift and other data sources exposed through MCP.
Google Vertex AI Agent Builder
Agents on Google Cloud with data residency controls and BigQuery grounding.
Start with an AI Readiness Workshop
Two weeks to assess your data, architecture and highest-value use cases. You leave with a data readiness scorecard, a security gap analysis and a target architecture, ready to launch your first MVE.