Make your AI Safe for Business.
Move from Prototype to Production with zero compliance risk.
We turn risky, black-box chatbots into deterministic, compliant colleagues that your Risk Department will actually approve.
Keep your LLM, UI & Data. We bring the Trust.
Deployment options: Cloud SaaS · Private VPC · On-Premise
Orchestrate any Model
Trigger any Workflow
Why AI projects die in the lab
You cannot audit a probability.
Regulated industries cannot operate on "likely correct" answers. They need proof. DhakaBrain bridges the gap between the flexibility of LLMs and the rigid governance of your Compliance Team.
Standard "Black Box" RAG
- Undefined Liability: If the AI lies, you can't explain why. You have no log of what data was retrieved to justify the error to a regulator.
- Dangerous Autonomy: Your chatbot connects blindly to APIs. One hallucination ("Refund approved"), and the money is gone forever.
- Customer Amnesia: The AI forgets everything when the chat closes. Users are frustrated because they have to repeat their context every time.
DhakaBrain Audit Layer
- Defensible Decisions: We log the exact snapshot of data fed to your AI. You have a permanent, tamper-proof record of the "Ground Truth" for every conversation.
- Zero Accidental Actions: Stop unauthorized execution. Sensitive actions are intercepted for approval to proceed.
- Deterministic Memory: The agent remembers user details across sessions. It behaves like a dedicated account manager, creating a personalized experience without retraining.
Your Path to Production
Everything you need to say "Yes".
Don't build infrastructure from scratch. We provide the governance stack that allows you to deploy agents safely, today.
- Secure Knowledge Ingestion
-
Connect SharePoint, GDrive, or local files. Crucially, we mirror your existing Access Control (RBAC) so confidential data never leaks to the wrong user or unauthorized AI agent.
- Deterministic Grounding
-
Beyond keywords and vector search. Our Context Engine ensures the AI understands the complete business context, not just fragments. It guarantees the model has exactly the right information to answer correctly, every time.
- Human-in-the-Loop Control
-
Define "Critical Actions" (e.g., Transfer > $1k). These are automatically frozen and routed to a human approval queue. Nothing executes without a digital signature.
The Technological Breakthrough
Deterministic Context Engineering.
Standard RAG relies on luck. We rely on Logic.
Instead of blindly retrieving keywords, DhakaBrain creates a structured ContextGraph. We combine your raw data with deterministic rules to force the LLM into a specific lane. The result is not just an answer, but a traceable, auditable chain of evidence that compliance teams can verify.
Seamless Integration
The Architecture of Trust
Tip: click any block to see what changes in Before vs With DhakaBrain.
n8n
Zapier
Triggered directly by your backend. Triggered only after DhakaBrain validation.
Master Your Knowledge Base
The Context Inspector.
Your AI is only as good as its data. Use our Inspector to audit your Knowledge Base, generate Context Graphs, and surgically manage exactly what your agent knows—and what it must forget.
- Search & Visualize
- Run hybrid searches on your data and generate visual Context Graphs to verify how your AI connects the dots.
- Surgical Data Control
- Need to remove a sensitive document? Modify or Forget specific data items instantly to stay compliant (GDPR/CCPA).
- Knowledge Insights
- Visualize your data landscape. Track document distribution and ingestion stats to ensure your Knowledge Base covers exactly what it needs to.
A Modular Brick, Not a Wrapper
Integrate fast with your existing stack.
DhakaBrain acts as a specialized middleware. Query our API to get the Perfect Context Object (Memory + Docs + Rules), then pass it to your existing LLM chain. We don't replace your model; we make it smarter and safer.
import dhakabrain
# 1. Fetch Deterministic Context (Memory + Rules + Docs)
context = dhakabrain.context.retrieve(query=user_input, user_id="cust_88")
# 2. Call YOUR Model (OpenAI, Anthropic, Llama...)
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[
{"role": "system", "content": context.system_prompt},
{"role": "user", "content": user_input}
]
)
# 3. Log & Validate Action (The Audit Layer)
dhakabrain.audit.log(
input=context,
output=response,
action_check=True # Freezes risky JSON actions for approval
)Explore the Platform
Whether you're a business leader, a product manager, or a hands-on engineer, we have a path for you.
Explore Features
Get a detailed, step-by-step overview of the core components of the DhakaBrain engine.
Learn More
Discover Solutions
See how our deterministic framework is applied to solve real-world problems in your industry.
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For Engineers
Dive into the API. See interactive code examples and learn how to start building.
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Build with Control. Start for Free.
Sign up for our generous free tier. Build unlimited agents with 100,000 AI Credits each month, and enjoy free, unlimited use of the Context Inspector for all your testing and analysis. No credit card required.