The facts are split
Customer, financial and operational information lives in different tools, formats and teams. Every useful answer starts with manual reconciliation.
Enterprise & government
Implementation partner for governed data and agentic AI in mission-critical operations.
We work alongside your teams to connect the systems you already run, engineer evidence and controls into every path from source to decision, and put Agents, Nexus and Sentinel to work where the operational stakes are real.
AI fails when the data behind it is unreliable.
The answer often exists — but no single system holds all of it. Teams piece together records and documents by hand, without a clear trail to the source.
The context is missing
A model can read a document and still miss which customer, asset, policy or decision it belongs to.
The controls arrive too late
Permissions, source evidence and approval rules are added after the demo. That is where promising pilots stop before production.
For institutions that must defend every answer—not just generate one.
What we stand for
In enterprise and government, useful intelligence is not fluency. It is authorised facts, preserved context, and processes that hold up under audit, regulation, and operational scrutiny.
We are an implementation partner: we map the work that matters, integrate the data estate you already own, and engineer governance into the architecture before any agent reaches production.
One governed data path — three implementation lines
Agents, Nexus and Sentinel are engineered on the same connected sources, access rules, and audit history—so intelligence in the field reinforces itself instead of fragmenting into pilots.
Agents, Nexus and Sentinel
Three ways we put governed intelligence into production—workflow execution, institutional knowledge, and continuous operational awareness—on the data path we build with you.
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.
- Multi-step workflow execution
- Approval gates and exception routing
- Cross-system orchestration
- Traceable investigation agents
Aeroh Nexus
Grounded knowledge access across documents, records and live data.
We implement role-bound retrieval and assistants over your authorised records and documents—so analysts and operators answer from evidence, with sources attached to every output.
- Enterprise search and grounded RAG
- Role-based assistants
- Document intelligence
- Institutional knowledge access
Aeroh Sentinel
Continuous monitoring that surfaces risk and drift before it compounds.
We engineer continuous monitoring over your connected estate—anomalies, policy drift, emerging risk—with signals routed to the people accountable for the decision, with evidence attached.
- Risk and compliance monitoring
- Early warning signals
- Anomaly and policy detection
- Management and audit intelligence
Sector signals connected to decisions.
Aeroh 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.
Mobility and traffic
Traffic flow, public transport, disruption signals and city operations analysed as one living system.
Secure missions
Field operations, communications and mission context connected into traceable decision support.
Manufacturing
Production throughput, quality checks and maintenance signals connected around the line.
Built for evidence, sovereignty, and day-to-day operations.
We implement data foundations and AI for organisations where decisions must stand up to audit, regulation, and operational reality—not slide decks.
Mission first
Every engagement starts with what must be known, decided, or executed—and what proof is required before anyone acts.
One governed picture
ERP, documents, APIs, and field systems stay in place. We connect them with lineage, quality rules, and access control intact.
Sovereignty by design
Permissions, retention, audit trails, and approval steps are part of the architecture. GDPR and EU privacy requirements are assumed from day one.
Built with operators
Domain teams define boundaries and exceptions. Engineering delivers systems your staff can run, review, and extend.
Enterprise
When operations depend on dozens of systems and one accountable decision.
We embed with manufacturing, financial, logistics and infrastructure teams—connecting the estate they already run and introducing controlled agents where manual reconciliation and missing context create risk.
Typical engagements
- Aeroh Agents
- Aeroh Nexus
- Aeroh Sentinel
Government
Sensitive missions, sovereign data, 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.
Typical engagements
- Aeroh Agents
- Aeroh Sentinel
- Aeroh Nexus
Built where data complexity changes the outcome.
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.
Foundation
Built on more than a year of focused research and engineering
Aeroh was established after more than 12 months of intensive development on governed data platforms, agent orchestration frameworks, and evidence-based AI systems. During this period, we designed reusable components, methodologies, and governance models for complex enterprise and government environments.
What exists today
A strong technical and methodological foundation is already built
We did not start from zero. Over the past year we have developed proprietary frameworks for data lineage, quality, and governed retrieval; reusable agent orchestration patterns with human-in-the-loop controls; pre-built components for high-value use cases; and a clear methodology that starts narrow, proves value, and expands with evidence.
Deployments
Currently preparing production deployments with selected organisations
We are engaged with a small number of organisations to prove the operating model in production—measurable outcomes first, with governance, auditability, and human accountability non-negotiable.
Focused on sectors where data governance and operational trust are critical
We take on work where blind spots, untraceable decisions, or loss of control over data and process would be unacceptable.
Manufacturing & industrial operations
Predictive maintenance, quality control, and supply chain agents with full traceability.
Logistics & supply chain
Real-time visibility, disruption prediction, and automated exception handling.
Financial services & insurance
Anomaly detection, compliance monitoring, and governed decision support.
Public administration & government
Sovereign data handling, auditable workflows, and accountable AI systems.
Critical infrastructure & energy
Operational resilience, incident response, and cross-system intelligence.
Life sciences & healthcare
Regulated data environments with strict access control and evidence requirements.
One workflow at a time — with evidence at every step.
Most agentic AI programmes stall because data was never connected or controls were never designed. Our method keeps both in scope from the first conversation.
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Start with one workflow
We open with a single process—how it works today, which data it needs, and what a controlled agent may change. No company-wide programme on day one.
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Engineer the data path first
Sources are mapped, connected, and governed before any agent becomes active. Lineage, quality, and access rules are part of the build—not a follow-up ticket.
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Introduce within real operations
Agents run in the tools and approval chains your teams already use. Exceptions route to people. Consequential actions require a signature.
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Measure, then expand
Each phase has a clear output before the next begins. Scope grows when evidence supports it—not when a pilot budget is spent.
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Work with your teams
We design alongside the people who will run the system. Your domain knowledge shapes the workflow; our engineering makes it production-ready.
What we engineer into each engagement.
Integration, retrieval, orchestration, governance, monitoring, and human accountability—assembled around your estate and mission, not sold as a feature checklist.
01
Data acquisition & integration
Connect ERP, CRM, databases, documents, APIs and operational applications without replacing existing systems.
02
Retrieval-augmented generation
Search and retrieve across structured records and unstructured documents to ground every agent response in evidence.
03
Agent orchestration
Design multi-step tasks, tool use, hand-offs between agents and escalation when confidence or risk thresholds are reached.
04
Access control & governance
Enforce role-based permissions, data sovereignty and policy boundaries at the data layer and inside each workflow.
05
Monitoring & audit
Log prompts, sources, actions and outcomes so operations and compliance can review what happened and why.
06
Human-in-the-loop control
Require approval for consequential actions, capture exceptions and keep a person accountable for final decisions.
Engagement
Begin with the operational problem—not a product demo.
We start with one workflow, the systems and data behind it, and what proof your organisation requires before anyone acts. If there is a credible path to production, we outline it together.