Kealu Vector: The Enterprise
Orchestration Layer for AI Agents
Orchestration Layer for AI Agents
Trust. Data Sovereignty. Safety. Consistency.
Kealu Vector sits between your enterprise data and your AI models — adding the governance, traceability, and quality controls that enterprise deployments require. We don't replace your stack. We govern it.t
How It Works
We Sit in the Middle. You Stay in Control.
Kealu Vector acts as the orchestration mid-layer between your enterprise data and your AI models — layering on top of what you already have.
Your Models:
Azure OpenAI, AWS Bedrock, Google Vertex, and On-premise/Open-source LLMs.
Your Tools:
GitHub Copilot (CLI + IDE), internal ticketing (Jira/ServiceNow), and Teams/Slack.
Your Boundaries:
Integrates with your existing authentication and security perimeters (VPC, air-gapped, or hybrid). No data leaves your environment.
Kealu Vector Core Capabilities
What Kealu Vector Does
1
Granular Agent Access Control & Governance
Finally, a true control plane for AI agents.
Manage per-agent data access policies (read-only vs. read-write) via a GraphQL-based enforcement layer. Control exactly which tools an agent can invoke, detect policy violations in real-time, and generate compliance audit reports from immutable access logs.
We also govern Agent-to-Agent (A2A) communication, ensuring full traceability of cross-agent interactions over HTTP.
Manage per-agent data access policies (read-only vs. read-write) via a GraphQL-based enforcement layer. Control exactly which tools an agent can invoke, detect policy violations in real-time, and generate compliance audit reports from immutable access logs.
We also govern Agent-to-Agent (A2A) communication, ensuring full traceability of cross-agent interactions over HTTP.
2
Cross-Environment Traceability
Unlike cloud-only tracing, Kealu Vector traces agent activity wherever they run—cloud, desktop, on-premise, or hybrid. Every prompt, output, gate result, and tool call is captured in immutable JSONL decision logs that integrate directly into your existing inspection tools (like Teams or GitHub PRs).
3
Deterministic Quality Gates with Evidence
End the hallucination problem with programmable, non-agentic verification.
Our workflows require agents to provide evidence alongside deliverables (e.g., executing a SQL query, returning a record count).
Deterministic gate checks verify the evidence before advancing. If a gate fails, the system triggers an automatic retry loop with specific feedback.
Our workflows require agents to provide evidence alongside deliverables (e.g., executing a SQL query, returning a record count).
Deterministic gate checks verify the evidence before advancing. If a gate fails, the system triggers an automatic retry loop with specific feedback.
4
Tournament-Style Multi-Agent Execution
Ensure the highest quality outputs through Competitive Execution.
Multiple agents (using different models) compete on the same task, cross-pollinate insights by reviewing each other's outputs, and iterate to produce the best, mathematically verified outcome.
Multiple agents (using different models) compete on the same task, cross-pollinate insights by reviewing each other's outputs, and iterate to produce the best, mathematically verified outcome.
5
Persona + Context Engineering
Create highly specialized agents using our three-layer framework: Persona (who the agent is), Context (encoded domain knowledge and skills), and Memory Activation (reinforced expertise).
You don't write these yourself—the system continuously learns and updates context based on iterative domain expert feedback.
You don't write these yourself—the system continuously learns and updates context based on iterative domain expert feedback.
Example Workflows for the Enterprise
Banking Operations: Client Migration Reporting
The problem: Consolidating data across legacy core banking platforms, CRMs, and data warehouses takes days, requires manual reconciliation, and is prone to error.
The solution: Agents pull from disparate systems, perform deterministic quality and consistency checks, and generate unified migration status reports — with full audit trails.
The result: Reports generated in hours, not days. GDPR and CCPA compliance built in.
Legal & IP: Provisional Patent Applications
The problem: Patent drafting is slow, manual, and expensive. Lawyers spend weeks pulling context from code repos, wikis, and design docs before writing a single claim.
The solution: Agents autonomously pull context from source code repositories, ticketing systems, design documents, and internal wikis. They generate precise invention disclosures and draft robust patent claims.
The result: Filing-ready PDFs — requiring only 1.5 hours for a patent lawyer to finalize. Weeks of work reduced to hours.
Risk & Audit: Compliance Report Generation
The problem: Compiling evidence for AML, KYC, SOX, Basel III, and MiFID II reports is a quarterly fire drill — time-consuming, manual, and reactive.
The solution: Generates comprehensive regulatory reports from cryptographically secured execution traces and immutable logs. Monitors compliance in real time, identifying issues before they escalate.
The result: Instant regulatory reporting. Continuous compliance, not quarterly scrambles.
Kealu Vector Delivers for the Most
Demanding Industries
Demanding Industries
Media
Delivers sub-200ms streaming and infrastructure proofing under load. Synchronizes thousands of concurrent operations globally.
Healthcare
Enables instant coordination for bed assignment and care workflows. Allows human expertise to focus on patients, not paperwork.
Finance
Powers sub-millisecond trading and real-time fraud detection. Ensures continuous compliance, not just quarterly checks.
Defense
Synthesizes intelligence and detects threats with air-gapped deployment. Elevates analysts to strategic judgment, not data retrieval.
Aerospace
Provides real-time monitoring and kernel-speed execution. Orchestrates across global fleets and sovereign defense environments.
AI & Machine Learning Systems
Enables edge execution for vehicles and robotics. Achieves sub-10ms loops where every millisecond determines safety.
Robotics
Coordinates swarm robotics with sub-10ms loops for safety. Ensures predictable execution even under unpredictable conditions.
Manufacturing
Automates factory coordination and production lines with zero latency. Provides real-time quality control and process optimization.
Logistics
Automates fleet management and warehouses at machine speed. Coordinates thousands of moving assets seamlessly.
Energy
Conducts real-time vulnerability analysis across critical infrastructure. Prevents downtime, disruption, and blind spots in energy systems.
Own Your AI — Over Time
General-purpose AI models are a starting point, not a destination. Kealu Vector is designed to help you build toward specialized, domain-specific AI that you own and control.
01
Shadow Mode
Run custom, fine-tuned open-source models in parallel with frontier models — without impacting production.
02
Competitive Learning
Your custom models improve by competing against frontier models inside Kealu's tournament execution engine.
03
Gradual Handoff
As your custom models match or exceed frontier performance for specific tasks, transition production traffic to models you own entirely.
This isn't a pitch for the future. It's a structured path that starts with your first pilot.
Prove It on Your Own Infrastructure
We run a structured 4-week Proof of Concept — deployed entirely within your security boundaries. No data leaves your environment.
What you bring:
- Secure environment access (your Azure, AWS, GCP tenancy, or on-premise infrastructure)
- One defined use case (e.g., migration reporting, document generation, compliance audit)
- One domain expert for the continuous feedback loop
What Kealu delivers:
- A fully operational, customized workflow deployed within your security boundaries
- Seamless integration with your existing governance and access controls
- Complete, traced audit logs proving deterministic ROI and safety