Mission before module
The starting point is the operational mission: what must be known, decided, monitored or executed, and what evidence is required to trust the result.
AI systems for complex enterprise and public-sector missions.
Aeroh brings fragmented records, documents and operational signals into governed intelligence environments, then deploys controlled agents where decisions must be traceable, secure and useful in production.
- Enterprise operations
- Public-sector missions
- Governed agentic AI
Intelligence systems are built around evidence, control and operations.
Aeroh is a specialist implementation partner for organisations that need to connect heterogeneous data and use AI in environments with real operational, legal or security constraints.
Heterogeneous data, one operating picture
Records, documents, events and external signals are connected into governed environments without forcing a replacement of systems that already work.
Trust and sovereignty by design
Permissions, audit trails, retention rules and human approval are designed into the architecture. Data remains under your policies and European privacy requirements.
Co-designed with operators
Domain experts shape the workflow and risk boundaries. Engineering turns that knowledge into systems that can be operated, reviewed and expanded.
Data platforms at the centre of the operating ecosystem.
Every solution rests on the same connected and governed foundation. That is how answers stay grounded, agents stay within policy, and signals reach the right people in time.
Foundation
Many sources. One governed environment.
We map where information lives, connect ERP, CRM, documents, databases and APIs, and keep lineage, quality and access rules intact — without replacing systems that already work.
Agents, search and monitoring inside real operations.
Agents built around real workflows: gather authorised evidence, follow defined steps, act or escalate. Every decision logged, every output traceable to source.
Solution lines
Aeroh Agents
Controlled agents that execute real workflows on your connected data.
Agents that gather evidence from authorised sources, follow multi-step processes, act within explicit boundaries or hand off to a person. Every action is logged and every recommendation is traceable to source.
Aeroh Nexus
Grounded knowledge access across documents, records and live data.
A secure, role-based knowledge layer that unifies your documents, operational records and systems. Teams get fast, accurate answers with sources attached — no hallucinations, no blind spots.
Aeroh Sentinel
Continuous monitoring that surfaces risk and drift before it compounds.
A monitoring layer that watches your connected estate for anomalies, policy violations and emerging issues. Early signals reach the right people with the evidence needed to act.
AI solutions for enterprise and public-sector needs.
Two front doors, one implementation discipline: connect data, govern access, deploy intelligence with proof. Implementations follow GDPR and applicable European privacy law.
Enterprise and government
Accelerate complex operations with AI built around your data.
Manufacturing, financial services, logistics and infrastructure organisations run on dozens of systems. We connect that estate and deploy intelligence where reconciliation, reporting and missing context slow teams down.
AI built for sensitive missions and institutional accountability.
Public institutions need sovereign data handling, auditable outputs and clear approval chains. We engineer access boundaries and evidence trails into every workflow — from case handling to regulatory reporting.
Industries and missions
Different missions, different data estates — the pattern is the same: connect the sources, govern access and put controlled AI inside real operations.
Security & Defence
Multi-source data fusion and governed agents for intelligence, investigation and operational coordination.
Manufacturing & Energy
Connect plant systems, supply data and market signals — then deploy agents for monitoring, reporting and planning.
Life Sciences
Unify research, supply chain and regulatory records with governed search and workflow automation.
Financial Services
Process automation, anomaly detection and reporting — with audit trails and access control built in.
Public Administration
Case handling, regulatory reporting and institutional knowledge — sovereign data, traceable answers, human accountability.
Critical Infrastructure
Operational resilience, incident response and cross-system visibility for networks that cannot afford blind spots.
Implementation model
We combine advisory, integration and engineering work so the solution fits the mission, the existing systems and the required controls.
Frame the mission
We map the operational objective, stakeholders, data domains, decision points and risk boundaries before choosing the technical shape.
Engineer the data foundation
Sources are mapped, connected and governed before any agent becomes active. Lineage, quality and access rules are part of the build.
Deploy intelligence in context
Agents, search and monitoring work inside the tools and approval chains your teams already use. Exceptions are routed to people.
Operate with evidence
Outputs, sources, actions and decisions are logged so operations, compliance and leadership can review what happened and why.
Expand as a portfolio
Successful use cases become reusable data and governance assets for the next solution line, instead of isolated experiments.
Capabilities composed into each solution.
We implement the stack required for production AI and data intelligence — not isolated model work. Capabilities are composed around your estate, mission and controls.
Data acquisition & integration
Connect ERP, CRM, databases, documents, APIs and operational applications without replacing existing systems.
Retrieval-augmented generation
Search and retrieve across structured records and unstructured documents to ground every agent response in evidence.
Agent orchestration
Design multi-step tasks, tool use, hand-offs between agents and escalation when confidence or risk thresholds are reached.
Access control & governance
Enforce role-based permissions, data sovereignty and policy boundaries at the data layer and inside each workflow.
Monitoring & audit
Log prompts, sources, actions and outcomes so operations and compliance can review what happened and why.
Human-in-the-loop control
Require approval for consequential actions, capture exceptions and keep a person accountable for final decisions.
Discuss the mission, data estate or solution line you need to build.
Tell us where fragmented data, slow analysis or weak operational visibility is creating risk. We will map the data, controls and implementation path required.