Aeroh Agents
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.
Learn moreEnterprise & government
We connect the systems you already run, keep access and evidence explicit, and ship agents that do defined work in production—not another pilot deck.
Governed data and agentic AI for organisations that must prove every answer.
What we stand for
Useful AI in complex organisations is not a larger model alone. It is precise retrieval, explicit authority, and workflows your institution can defend in front of auditors and leadership.
We build modular solutions that integrate into real operations—connecting heterogeneous data without replacing systems that already work, and governing every path from source to decision.
Three connected platforms on one governed data foundation—built for missions that cannot afford blind spots or unverifiable answers.
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.
Learn moreA 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.
Learn moreA 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.
Learn moreAeroh is built for environments where the work is physical, regulated and cross-system. The value appears when operational signals, records and human decisions can be analysed together.
Traffic flow, public transport, disruption signals and city operations analysed as one living system.
Field operations, communications and mission context connected into traceable decision support.
Production throughput, quality checks and maintenance signals connected around the line.
We implement data foundations and AI for organisations where decisions must stand up to audit, regulation, and operational reality—not slide decks.
Every engagement starts with what must be known, decided, or executed—and what proof is required before anyone acts.
ERP, documents, APIs, and field systems stay in place. We connect them with lineage, quality rules, and access control intact.
Permissions, retention, audit trails, and approval steps are part of the architecture. GDPR and EU privacy requirements are assumed from day one.
Domain teams define boundaries and exceptions. Engineering delivers systems your staff can run, review, and extend.
Enterprise
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.
Typical engagements
Government
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.
Typical engagements
Different missions, different data estates — the pattern is the same: connect the sources, govern access and put controlled AI inside real operations.
Multi-source data fusion and governed agents for intelligence, investigation and operational coordination.
Connect plant systems, supply data and market signals — then deploy agents for monitoring, reporting and planning.
Unify research, supply chain and regulatory records with governed search and workflow automation.
Process automation, anomaly detection and reporting — with audit trails and access control built in.
Case handling, regulatory reporting and institutional knowledge — sovereign data, traceable answers, human accountability.
Operational resilience, incident response and cross-system visibility for networks that cannot afford blind spots.
We combine advisory, integration and engineering work so the solution fits the mission, the existing systems and the required controls.
We map the operational objective, stakeholders, data domains, decision points and risk boundaries before choosing the technical shape.
Sources are mapped, connected and governed before any agent becomes active. Lineage, quality and access rules are part of the build.
Agents, search and monitoring work inside the tools and approval chains your teams already use. Exceptions are routed to people.
Outputs, sources, actions and decisions are logged so operations, compliance and leadership can review what happened and why.
Successful use cases become reusable data and governance assets for the next solution line, instead of isolated experiments.
Engagement
Share the operational outcome you need, the systems involved, and the controls your institution requires. We will outline a practical path to production.