AI-native from day one
Founded in Abu Dhabi as an AI-native company, backed by a group with 50+ projects delivered.
AI that holds up
under audit.
We design, build and run agentic AI for regulated organisations across the UAE and beyond. Then we stay until your team owns it.
Book a discovery session
Who we are
Deployflow AI is the group’s Abu Dhabi company, set up to bring agentic AI to UAE organisations with the people and track record we have built since 2018.
London HQ · Abu Dhabi
6 offices worldwide
Security you can verify
Our information security sits under the group’s ISO/IEC 27001:2023 certification.
Accountable to go-live
We stay until the system runs in production and your team can operate it without us.
- Agentic AI
- Sovereign data
- Cloud and DevOps
- Human oversight
- CortexOS
Five disciplines.
One accountable team.
Powered by CortexOS, our own agentic platform, running inside your perimeter.
AI strategy and roadmap
Know which agents to build first. A ranked, costed roadmap in six weeks, ready for the board, with an agent bootcamp we run for you.
Agentic experience design
Agentic experiences people actually adopt, with human judgement kept where it counts.
AI app development
AI-powered applications in your environment, shipped in two-week sprints and handed over in full.
Data and AI platforms
Governed data, cited answers and agents in production, with the cost of every run recorded.
Sovereign Cloud, infra and DevOps
Sovereign, auditable environments, monitored 24/7 across three time zones.
Meet CortexOS
The agentic platform for regulated industries.
Agents do the work. People keep authority.
Build, run and govern hybrid teams of people and AI agents across the systems you already run. Self-hosted, model-agnostic, and running in production today.
One platform. Four responsibilities.
01
Build
Multi-agent teams; agentic processes, cases, skills and playbooks; plugins, tools, MCP servers, knowledge and governed integrations.
02
Run
Multi-agent orchestration across long-running cases; context, memory and data layer; proactive engine and event bus; dynamic model routing; voice, APIs and system actions.
03
Govern
GuardianShield runtime governance; identity, permissions, policy and hard guardrails; deterministic controls; consequence-based Assist / Decide / Approve / Execute.
04
Prove
Audit trails, traces and observability; approvals and execution evidence; evaluations, risk signals, lineage and cost; business KPIs.
Built for organisations that answer to regulators.
People retain authority
Consequential decisions stay explicitly owned by your staff.
Controls sit outside the model
Policy, permissions and approvals constrain what agents say and do, not prompts alone.
Existing systems remain
Connects to systems of record through APIs and governed services, rather than replacing them.
Model-agnostic
Orchestrates models rather than hosting one, so you are never locked to a provider and can use the best Arabic model.
Flexible deployment
Self-hosted and on-premises deployment supported.
Why Deployflow
What you can
hold us to.
Four principles shape every engagement, from the first scored use case to the day your team takes over.
Outcome first
Spend follows proof. We start with one use case, test it on your real data, and expand only when it pays.
End-to-end capability
Strategy, design, engineering and cloud in one AI-native team, so nothing falls between suppliers.
Governed by design
Your data stays where your rules say. Every AI decision is logged and open to review.
Global capability
Headquartered in London, registered in Abu Dhabi, delivering across Europe, the US, Asia and the Gulf.
Results
Outcomes that survive
inspection.
HealthcareSafeguarding assessments cut from 35 minutes to under 5
EnergyGoverned AI at petabyte scale inside an air-gapped national estate
“Their seamless team-building and thorough knowledge transfer have been instrumental in bringing our product to life.”
“Their expertise in streamlining our development and operations processes has significantly improved our efficiency and productivity.”
“Deployflow supported us with a full audit of our enterprise infrastructure… where it made more sense for cost, performance, and operational control.”
Insights
Field notes on
regulated AI.
Questions we
hear first.
Who do you work with?
Regulated organisations in government, healthcare, energy and financial services, across the UAE, the UK, the US and Europe.
What do you actually deliver?
A scored roadmap, then working software in your environment: agents, data platforms and infrastructure. We hand over the code, the documentation and the knowledge.
What is CortexOS?
Our own agentic platform. Its core is open source and self-hosted, so it runs inside your perimeter and you can operate it without us.
Where does our data live?
Where your rules require: in country, in a sovereign cloud or inside your own perimeter. Customer data is never used to train models.
Which AI models do you use?
We are model agnostic. Claude, OpenAI, Gemini, Llama or Mistral, chosen for each task by cost, speed and the policies you set.
How does a discovery session work?
A paid engagement to size your first use case, agree the success measure and price the build. Most finish within six weeks.
Powered by CortexOS
Agents do the work.
People keep authority.
CortexOS is our agentic runtime for regulated industries. It runs inside your perimeter, with every decision on record.
Certified and partnered
Prove one thing.
Then scale it.
Every engagement begins with one measured outcome on your own data. Nothing scales until it has earned it.
A roadmap in six weeks
We score every candidate use case with the people who would use it, then sequence them so value lands early.
Proof on your real data
A dedicated, AI-accelerated team ships in two-week sprints, each closing on a number agreed in advance.
Live, owned, extended
We train your team, hand over the code and documentation, then widen with 24/7 support.
Built to get past the pilot.
- Founded
- 2018
- Projects delivered
- 50+
- Offices worldwide
- 6
- Monitoring and response
- 24/7
The usual AI vendor
Impressive demos that stall before production, or fold at the first audit.
- A pilot that never goes live
- Answers no one can trace
- Your data leaves your perimeter
- One model, one provider, no exit
- A handover, then silence
Working with Deployflow
One outcome proven on your data, then scaled inside your rules with every decision recorded.
- Live on real data before any scale-up
- A source behind every answer
- Self-hosted, in country or in your perimeter
- Claude, OpenAI, Gemini, Llama or Mistral
- We stay until your team runs it