Enterprise Agentic AI · by Datum AI Labs

The enterprise agentic engineering platform

Derbee turns business knowledge, workflows and enterprise systems into governed AI agents that automate work, augment employees and power new AI-native products.

Distributed Execution and Routing for Business Enterprise Engine

Read Studio OverviewSee client stories →
INTELLIGENT ARCHITECTURElive
INPUTEnterprise KnowledgeData · RAG · Memory
INPUTAI ModelsLLM · Reasoning · Routing
Derbee AI EngineINTELLIGENCE LAYER
OUTPUTAI Agent WorkforceCollaborate · Delegate
OUTPUTBusiness WorkflowsAutomate · Integrate
Enterprise AI ReadySecure · Governed · Scalable
Derbee Studio agents workspace showing multi-agent orchestration and intelligence layer
📖 Platform Documentation:Explore the complete Derbee Studio Architecture & User ManualOpen interactive HTML
CLIENT STORIES

Built on Derbee Studio

Platforms bring their domain. Derbee provides the agents, knowledge, reasoning and orchestration underneath.

ENTERPRISE TALENT INTELLIGENCE

Stynt.AI

AI-Powered Talent Intelligence Platform

Stynt.AI uses Derbee Studio as its agentic intelligence layer to support complex talent discovery, candidate assessment, matching and hiring workflows.

S
Sia — Hiring Agent
Supports job definition, candidate evaluation, talent scoring, matching and shortlist recommendations.
S
Sky — Scouting Agent
Discovers and evaluates talent across multiple candidate sources to identify relevant and hidden talent.
BUSINESS WORKFLOW
Talent Data→Sia + Sky→Talent Intelligence→Hiring Decisions
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BUSINESS GROWTH INTELLIGENCE

Datumart

AI-Powered Growth & Customer Engagement Platform

Datumart embeds Derbee Studio into marketing, customer engagement and growth workflows, allowing businesses to transform customer and business data into insights, content and actions.

D
Daisy — Brand Performance Agent
Analyses reviews, customer feedback, engagement signals and business data to identify brand performance insights and growth opportunities.
M
Mia — Marketing & Content Agent
Uses business context and enterprise knowledge to create SEO content, campaigns, newsletters and social content aligned with the organisation's brand.
BUSINESS WORKFLOW
Business Data→Daisy + Mia→Insights & Content→Customer Growth
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LEARNING INTELLIGENCEIn Development

Datum Adaptive Micro-Learning Portal

Agentic AI for Personalised Learning

The Datum Adaptive Micro-Learning Portal is being developed using Derbee Studio to demonstrate how enterprise-grade agentic AI can support personalised and adaptive learning environments for schools.

L
Luma — Adaptive Learning Agent
Luma provides the intelligence layer for the learning experience, helping personalise learning content, guidance and micro-learning activities based on learner context and progress.
LEARNING WORKFLOW
Curriculum + Learning Data→Luma→Adaptive Learning→Student Progress
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WHY DERBEE?

Turn Business Applications into Intelligent, Agent-Driven Experiences

Derbee Studio is an enterprise-grade Agentic AI platform that helps organisations embed intelligent agents directly into business applications and workflows.

It provides a reusable intelligence layer that brings together enterprise knowledge, reasoning, tools, APIs, workflows and human oversight, helping businesses move beyond standalone AI assistants towards secure, scalable and production-ready intelligent applications.

“Bring your business application and domain expertise. Derbee provides the agentic intelligence layer.”

Relevant to large enterprises modernising existing applications, and to startups building entirely new AI-native products.

THE ENGINEERING FOUNDATION

Every layer of enterprise AI engineering, in one platform

Derbee combines every layer required to design, deploy and support production-ready agentic systems.

01 · CORE LOGIC

Prompt engineering

Define agent roles, objectives, guardrails and reasoning strategies for reliable execution.

In the studio: Prompt templates · Guardrails
02 · KNOWLEDGE

Context engineering

Connect enterprise knowledge, business data, memory and RAG to deliver accurate, business-aware responses.

In the studio: Knowledge bases · RAG documents
03 · INTEGRATIONS

Tools engineering

Securely integrate APIs, enterprise applications, MCP servers and business workflows as agent tools.

In the studio: MCP registry · API registryMCP Guide ↗
04 · ROUTING

Inference engineering

Route requests to the most appropriate models, optimise performance, reduce latency and control AI costs.

In the studio: Providers · Models · Cost & usageModels Guide ↗
05 · COLLABORATION

Multi-agent communication

Let specialised agents collaborate, delegate work and solve complex business problems together.

In the studio: Supervisor · Pipeline · Group chat
06 · ORCHESTRATION

Agentic workflow orchestration

Design intelligent workflows that plan, execute, monitor and continuously improve business operations.

In the studio: Agent Studio · Trace logs · AnalyticsAnalytics & Logs ↗
PLATFORM

Inside the studio: from prototype agent to production fleet

Eight modules turn the engineering foundation into running systems. Build, ground, connect, trigger, deploy, observe and govern in one place.

Read Complete Studio Manual & Architecture
01

Agent Orchestration

Build supervisor-and-worker teams, sequential pipelines or group chats on a visual canvas. Choose ReAct, Function or Plan routing, share context between agents and set step limits.

Supervisor + workersSequential pipelineGroup chat
Agent Orchestration
02

Multi-Tenant Isolation

Each customer gets its own isolated, secure environment with separate agents, knowledge, credentials and logs, so every tenant runs and scales on its own.

Per-tenant dataScoped credentialsIndependent scaling
Tenant A
Support agents · Knowledge base · API keys · Trace logs
Tenant B
Recruiting agents · Knowledge base · API keys · Trace logs
Tenant C
Research agents · Knowledge base · API keys · Trace logs
03

Knowledge & RAG

Ground agents in your own data. Connect vector stores such as ChromaDB and MongoDB Atlas, manage documents and attach knowledge bases to any agent.

ChromaDBMongoDB AtlasRAG documents
Knowledge & RAG
04

MCP Integration

Register Model Context Protocol servers for databases and services. Configure the transport, authentication and retries, then give agents their tools and live data.

MCP registryAPI registrySSE transport
MCP Integration
05

Inbound & Outbound Triggers

Run agents instantly through APIs or event-driven channels, or schedule them as batch jobs for recurring and high-volume workflows.

Invoke APIsScheduled jobsEvent-driven
Inbound & Outbound Triggers
06

Observability

Workflow analytics show executions, success rate, failures and token volume for every agent, and step-by-step trace logs sit one click away.

AnalyticsTrace logsLeaderboard
Observability
07

Channel

Deploy agents where your customers already are: WhatsApp, Messenger, Instagram and Outlook. Connect, configure and monitor every channel in one place.

WhatsAppMessengerInstagramOutlook
Channel
08

Governance

Guardrails check inputs and outputs, and every model call is priced and tracked by phase. AI decisions stay compliant, auditable and on budget.

GuardrailsCost & usageAudit trail
Governance
Agent Orchestration
Tenants
3 isolated · all healthy
Tenant Atn_01
Support agents
Knowledge base
API keys
Trace logs
● isolated
Tenant Btn_02
Recruiting agents
Knowledge base
API keys
Trace logs
● isolated
Tenant Ctn_03
Research agents
Knowledge base
API keys
Trace logs
● isolated
Knowledge & RAG
MCP Integration
Inbound & Outbound Triggers
Observability
Channel
Governance
OBSERVABILITY

Human-centric governance, every step traced

Input guardrails, research nodes, tool calls, state compaction and output checks are all logged with timestamps and levels. Combined with human-in-the-loop approvals and human-in-judgment oversight, enterprise AI stays secure, compliant, transparent and accountable.

DebugInfoWarningErrorFatal
📊 Technical Reference: Analytics & Trace Logs Manual
Agent Execution Logsf5d39385-e9ef-4e09-8580.log6/13 lines
17:22:11.455INFOworkflow.start
17:22:11.516INFO[guardrail_input] start
17:22:16.880INFO[guardrail_input] complete
17:22:16.940INFO[research_node] start
17:22:16.940WARNING[research_node] web_skipped_by_policy
17:22:22.910DEBUG[research_node] api_registry_result
HOW IT WORKS

Speeding up the agent lifecycle

01 / 05
STAGE 01Models · Providers

Connect models

Add providers and models such as Claude and Gemini, with per-model pricing so you can track cost from day one.

Multiple providers
Model chosen per agent
Per-model pricing
Connect models
● STAGE01 / 05
COGNITIVE CAPABILITIES

Harnessing enterprise intelligence

Derbee turns organisational knowledge into reusable, composable AI capabilities: a secure AI workforce that understands business context instead of simply responding to prompts.

A

Contextual execution

Agents reason through workflows dynamically, preserving state and memory across complex, multi-day operations.

Memory Architecture Guide ↗
B

Deterministic guardrails

Non-deterministic LLM reasoning combined with rigid business rules, for secure, audit-ready performance.

COMBINED TECHNOLOGY STACK
01
Large language models
State-of-the-art foundation models tailored to enterprise needs.
02
Generative models
Multimodal text, images, audio, video, code, reports and data, generated in real time.
03
Retrieval-augmented generation
Real-time, context-relevant enterprise data injected into agent prompts.
04
Enterprise knowledge graphs
Siloed data entities connected to capture rich relationship context.
05
Business rules & logic
Deterministic policies, compliance guardrails and industry standards, enforced.
06
Human-centric AI governance
Human-in-the-loop approvals with human-in-judgment oversight.
07
Intelligent workflow automation
Complex, multi-step business logic run autonomously, with self-healing.
USE CASES

Where can Derbee be used?

Derbee Studio can power intelligent applications across industries by combining enterprise knowledge, AI reasoning, specialised agents, tools, APIs and business workflows.

01

Financial Services

Build intelligent agents into banking, payments, lending, insurance and wealth-management applications.

Examples: Payment investigation agents, transaction exception handling, financial operations copilots, customer servicing, fraud-review workflows, compliance knowledge assistants and onboarding automation.

EXAMPLE FLOW
Transaction Data→Investigation Agent→Enterprise Rules & Knowledge→Recommended Action→Human Approval
02

MarTech & Customer Growth

Embed agents into marketing, CRM, customer engagement and commerce platforms.

Examples: Brand intelligence, campaign creation, customer segmentation, personalised content, SEO optimisation, lead qualification and customer engagement automation.

DERBEE EXAMPLE
Datumart→DAISY + MIA→Growth Intelligence
03

Energy & Utilities

Build intelligent operational applications around infrastructure, assets, field operations and energy data.

Examples: Asset monitoring, maintenance planning, incident triage, energy optimisation, field-service assistance, operational knowledge agents and sustainability reporting.

EXAMPLE FLOW
Asset Data→Operational Agent→Analyse & Reason→Recommend Action→Maintenance Workflow
04

Enterprise Operations

Add intelligence to existing ERP, procurement, finance, HR and operational systems.

Examples: Procurement agents, document analysis, supplier evaluation, workflow approvals, contract intelligence, employee support and operational decision assistance.

05

Talent & HR Technology

Create agent-driven recruitment and workforce intelligence applications.

Examples: Talent discovery, candidate matching, CV analysis, skills intelligence, job creation and candidate evaluation.

DERBEE EXAMPLE
STYNT.AI→SIA + SKY→Talent Intelligence
06

Education & Learning

Power adaptive learning, knowledge delivery and personalised educational applications.

Examples: Personalised learning paths, micro-learning, curriculum assistance, student progress analysis and adaptive content delivery.

DERBEE EXAMPLE
Datum Adaptive Micro-Learning→LUMA→Learning Intelligence
07 · ANY INDUSTRY

Startups

Startups can use Derbee as the agentic intelligence layer behind their own products, without having to build the complete AI orchestration infrastructure from scratch.

This allows founders to focus on their industry problem and customer experience, while Derbee provides the underlying agentic architecture.

A STARTUP BRINGS ITS OWN
Business ApplicationDomain DataBusiness Rules
AND USES DERBEE FOR
AgentsRAG KnowledgeReasoningToolsAPIsWorkflow OrchestrationHuman Oversight
ONE PLATFORM

One Platform. Many Industries.

Financial Services↓Transaction & Operations Intelligence
MarTech↓Customer & Growth Intelligence
Energy↓Operational Intelligence
HRTech↓Talent Intelligence
EdTech↓Learning Intelligence
Startups↓Domain-Specific Intelligence
Derbee Studiobecomes the reusable agentic intelligence layer underneath each application.
ENTERPRISE OUTCOMES

Built for modern enterprises

Unlock business potential, accelerate operations and keep compliance rigorous.

01

Automate business processes

Offload repetitive, time-consuming operations to autonomous agent workforces.

02

Accelerate knowledge work

Equip knowledge workers with AI copilots that retrieve, analyse, summarise and generate high-quality output.

03

Modernise legacy apps

Wrap existing enterprise systems with intelligent, AI-native interfaces and agents.

04

Build scalable products

Create next-generation, AI-first SaaS and software products.

05

Transform business operations

Automate workflows, orchestrate decisions and optimise end-to-end business processes.

06

Govern enterprise AI

Security auditing, observability, guardrails and compliance tracking, built in.

FAQ

Questions, answered

Something missing? Talk to the team.

Derbee (Distributed Execution and Routing for Business Enterprise Engine) is Datum AI Labs' enterprise agentic engineering platform. It turns business knowledge, workflows and enterprise systems into governed AI agents. Read full Studio Overview & Architecture Manual

A chatbot answers prompts. Derbee is the engineering foundation for building, orchestrating and governing agents that plan, reason, execute and learn across real business workflows.

Each tenant runs in its own secure environment with its own agents, knowledge bases, credentials and logs. One tenant's agents never share state with another's, and each scales independently.

Connect multiple model providers such as Anthropic Claude and Google Gemini, with routing per agent. Agents use your data through RAG and knowledge bases, and your systems through MCP servers and a REST API registry.

Deterministic guardrails check inputs and outputs, every step of every run is traced, and cost is tracked by model and phase. Human-in-the-loop approvals and human-in-judgment oversight keep decisions accountable.

Datum Fabric provides the infrastructure and knowledge layer, Derbee Studio orchestrates the agents, and Datumart delivers customer-facing business applications on top.

Email creators@datumailabs.com to request the investor deck, or book a meeting with the Datum AI Labs team.

ARCHITECTURE & TECHNICAL MANUALS

Looking for technical specifications on prompt templates, agent runtimes, MCP and orchestration?

Explore our deep-dive architecture reference manuals detailing system boundaries, state machine lifecycles, fail-closed guardrails, and enterprise observability.

Complete Platform Architecture Manual
01 · PROMPTS & LOGIC

Prompt Templates

Parameter mapping, partial inheritance, and schema validation.

Specifications: Dynamic variable mapping, partial templates, strict JSON schemas, and template lifecycle.

Read Architecture Manual
02 · ORCHESTRATION

Agents, Workflows & Teams

Supervisor-worker teams, sequential pipelines, and group chat routing.

Specifications: Stateful execution graph, human-in-the-loop review checkpoints, and collaborative worker topologies.

Read Architecture Manual
03 · INTEGRATIONS & RAG

Tools, MCP & RAG

Model Context Protocol, API registry, web search & vector knowledge.

Specifications: MCP standard tools, OpenAPI endpoints, hybrid retrieval, embeddings, and context assembly.

Read Architecture Manual
04 · SAFETY & GOVERNANCE

Guardrails & Governance

Regex + GLiNER PII masking, injection heuristics, and audit trails.

Specifications: Fail-closed redaction pipelines, prompt injection shields, and tamper-proof verification logs.

Read Architecture Manual
05 · INFERENCE & MODELS

Models & Providers

Multi-vendor LLM routing, token pricing, latency, and credentials.

Specifications: OpenAI, Anthropic, Gemini, Groq, Ollama integrations with fallback routing and cost budgets.

Read Architecture Manual
06 · OBSERVABILITY

Analytics & Trace Logs

Structured run records, full-fidelity step traces, and retention policies.

Specifications: Granular execution spans, token metrics, latency waterfalls, and downloadable audit trails.

Read Architecture Manual
07 · SESSIONS & MEMORY

Chat & Session Memory

State machine, rolling summaries, semantic cache, and HITL gates.

Specifications: Session state lifecycle, context compression, memory persistence, and conversation branching.

Read Architecture Manual
08 · SCHEDULERS & TRIGGERS

Schedulers & API Triggers

Recurring crons, timezone engines, distributed locks, and API invoke keys.

Specifications: Lease locks, misfire policies, failure streak breakers, and external HTTP invocation.

Read Architecture Manual
Derbee Studio

Build the next generation of enterprise AI

Modernising internal operations, creating AI-powered products or scaling intelligent services: Derbee Studio is the foundation for designing, deploying and governing production-ready agentic AI.

Explore Studio Overview