Agentic AI platform for software delivery

Sovereign AI agents that ship up to 50 % more software, without a single byte leaving your servers.

HALO is an autonomous AI agent platform: it takes your requirements and carries them all the way to tested, validated code. Five agents produce, your teams decide at every step, and Brain, at the centre, listens to everything in real time. On-premises or private-cloud deployment, on your own infrastructure.

Measured at a banking client: 30 % lower cost, delivery times halved, 70 % fewer complaints.

POArchitectUI/UXTechLead / DevQABRAIN
HALOStories and criteria
For every sector that ships software
Aligned with your regulatory frameworksGDPR and local data-protection lawsHosted in your own countryOn-premises or private cloudOffline capable
−30 %full cost from the first project
÷2on delivery times
−70 %fewer post-delivery complaints
5specialised agents, orchestrated by Brain
0outbound flows, licence check aside

Orders of magnitude from our deployments, measured at a banking client. The business case is built with you, on your own figures.

What we hear

IT leaders all tell us the same thing.

I'm asked to deliver more with less.

Budgets shrink, the business backlog does not. Every postponed project is a missed opportunity for the business.

AI tools are blocked by security.

With Copilot, Cursor or Devin, code and data leave for a external cloud. The risk committee says no, and rightly so.

Our AI pilots never scale.

With no assigned accountability, no traceability and no control over what the agent may do, nobody signs off on production.

I depend on scarce skills.

Every change to the application estate needs rare profiles, often external, slow to onboard and costly to keep.

Live demo

A full sprint, from requirements to validated code.

Watch five agents produce, Brain learn and three human roles decide. Switch to manual mode to approve every gate yourself, as your team would.

Project: instant transfers · Sprint 7illustrative scenario
Sovereign · offline
PO agentawaiting approval

US-07 · Payments epic

As a customer, I want to send an instant transfer to a beneficiary account so that the beneficiary is credited in under 20 seconds.

Acceptance criteria

  • Given a valid IBAN, the transfer is executed and a reference is shown.
  • Above the daily limit, the transfer is refused with a clear message.
  • The bank account number never appears in clear text in logs.
PaymentsAccountsNotificationsCompliance22 stories · 4 epics
POThe Product Owner fixes two criteria and approves the backlog.

Illustrative scenario. Timings are those of a demonstration; they are measured on your own code during the 48-hour proof.

The agents

Three human roles decide. Five agents produce. Brain, at the centre, listens to all of them.

One chain, one context, from need to acceptance. Every deliverable stays a draft until an identified human approves it.

PO

Turns the requirements into a usable backlog.

  • Stories and epics
  • Acceptance criteria
  • Traceability to every requirement
POApproved by Product Owner

Architect

Frames the solution before the first line of code.

  • Technical specification
  • OpenAPI contract and diagrams
  • Data schema
POApproved by Product Owner

UI/UX

Makes the need visible and testable by the business.

  • Clickable prototype
  • Annotated with business rules
  • Screens and journeys
POApproved by Product Owner

TechLead / Dev

Implements in your repository, with your conventions.

  • Code, build and tests
  • Documented merge request
  • Never merges automatically
TLApproved by Team Lead

QA

Proves that every acceptance criterion is covered.

  • Traced test plans
  • Sprint acceptance campaign
  • Coverage report
QAApproved by Tester

Brain

At the centre of HALO: it talks to every agent in real time.

  • Captures every delta, before and after correction
  • Proposes cited rules
  • Nothing without human approval
HApproved by An identified human

Governance

AI governance: what stays in your hands, and always will.

The answers your risk committee asks for: who decides, who is accountable, who can attest to it.

•RequirementsYour starting point
POStoriesApproved
POSpecificationGate 1
POMock-upGate 2
•CodeIn your repository
TLMerge requestReviewed, merged
QAAcceptanceApproved
•ProductionNamed accountability
Nothing is committed without approval

Every story, specification, mock-up and test plan stays a draft until an identified human approves it.

Two gates before any line of code

The technical specification and the mock-up must be approved before development.

The agent never merges

It opens a merge request that your team reviews line by line.

Scoped permissions

The technical account only acts on the products and repositories you open to it.

Full traceability

From story to merge request, every decision is attributed and dated.

Reversible at any time

Your code stays in your repositories and formats, with no dependency on HALO to evolve it.

The agent produces. The team decides on the merge. Accountability for each release stays personal, just as today.

Sovereignty

Sovereign generative AI: your servers, your models, your data.

HALO deploys on-premises or in a private cloud, for the outsourcing, data-confidentiality and data-protection (GDPR or local equivalent) requirements of regulated sectors.

Everything stays on-premises, offline if you wish. Open-weight models run on your GPUs. No outbound flow, licence check aside.

Your infrastructure, on-premises or private cloud Systematicmasking Modelsopen-weights, yourGPUsYour codeGitLab, GitHub,Bitbucket, AzureDevOpsYour datadocuments, businessrules, databasesHALOagents, Brain,isolated runs No outboundflow External provideryour model of choice
Built for your regulationsCloud outsourcing, data protection (GDPR or the equivalent local law), hosting of sensitive data in your own country, as your regulator requires.
You choose the modelModel and key configured product by product, switched on the fly. You pay your tokens to your own provider, or nothing at all locally.
Systematic maskingIn hybrid mode, sensitive data is masked before any call to an external model, with a report attached to every merge request.
Offline operationAvailable today, and clients already run it that way.

More on sovereign and on-premises AI →

HALO Brain

A multi-agent system: at the centre, Brain listens to every agent.

Brain talks to every agent in real time, captures each delta between what is produced and what your teams validate, and proposes reusable rules. The more you use it, the less you supervise.

Correction · US-07

+ The bank account number never appears in clear text in logs.

Your business rules become an explicit, versioned, reviewed asset, no longer tacit knowledge scattered across contractors. The day someone leaves, the rule stays.

Results

Cut costs, or speed up: your call.

−30 %full cost from the very first project, licence, tokens, hardware and support included. Up to −60 % once Brain has captured your context.
÷2on delivery times, with the same review, acceptance and release processes.
−70 %post-delivery complaints, measured at a banking client.

Estimate your room to manoeuvre

12.0 M EUR

Estimated saving · a year, same scope (−30 %)

Up to 24.0 M EUR a year with Brain (−60 %)

Your budget
40.0
After HALO
28.0
With Brain
16.0

Orders of magnitude from our deployments. The business case is built with you, on your own figures, after the proof on your code.

Autonomous AI agents or a code assistant: what is the difference?

Assistants write code. HALO organises the delivery of software. Many of our clients use both.

CriterionCode assistantAutonomous coding agentHALO
Where your data runsVendor cloudVendor cloudWith you, offline possible
Scope coveredWriting codeWrite, test, open a PRFrom requirements to acceptance
Who decidesThe developer, line by lineThe agent, with a final reviewYour PO, Team Lead and tester, at every gate
Your business rulesRepeat in every promptRepeat in every taskCaptured by Brain, approved, reused
Model choiceImposed by the vendorImposed by the vendorYours, switched on the fly

Who it's for

Every decision-maker finds their answer.

HALO is for those who deliver, those who decide and those who must be able to say no.

Deliver more without hiring

  • Up to 50 % more projects on the same budget, or −30 % full cost
  • Less dependence on scarce profiles and contractors
  • Steering through indicators set in advance: lead time, cost, quality
The business backlog that had been waiting for quarters finally ships.CIO

Sectors

Enterprise AI use cases, for every sector.

HALO fits any organisation that builds or evolves applications. Examples of typical use cases, to adapt to your application portfolio.

Banking and payments

Outsourcing and data-protection requirements.

  • Instant transfers and payments
  • Account-opening journeys
  • Regulatory reporting

Insurance

Long processes, dense business rules.

  • Claims-declaration journeys
  • Online underwriting and quotes
  • Broker and policyholder portals

Public sector

Modernising business applications without exposing data.

  • Citizen online services
  • Paperless procedures
  • Rebuilding legacy applications

Industry and telecoms

Heterogeneous systems and tight deadlines.

  • Partner and supplier portals
  • Internal business applications
  • IT integration and evolution

Healthcare

Sensitive data and critical journeys.

  • Appointment booking and patient records
  • Doctor and insured-member portals
  • Hospital systems integration

Energy and utilities

Large-scale services, distributed teams.

  • Customer portals and billing
  • Field applications
  • Monitoring and reporting

Retail and e-commerce

Frequent changes, load peaks.

  • Purchase and loyalty journeys
  • Back offices and logistics
  • Sales-channel integration

Software and digital services

Ship faster without growing the team.

  • New product features
  • Technical-debt clean-up
  • Maintenance and fixes

All use cases →

Plugs intoGitLabGitHubBitbucketAzure DevOpsJiraOpen-weight modelsYour model provider

Get started

The proof on your code, in 48 hours.

No three-month pilot: a real change, delivered in your repository, judged by your team.

  1. 48 hoursProof on your code

    You pick a real change to an existing application. HALO delivers it as a merge request with its tests. Your team reviews and judges.

  2. 6 to 8 weeksPilot on one scope

    One project, one team, indicators fixed in advance: lead time, full cost, post-delivery quality.

  3. ThenRoll-out

    Extension to related projects, your teams gaining autonomy, Brain capturing knowledge from one project to the next.

What we need from your side

  • A repository and its documentation, accessible to a technical account with scoped permissions
  • A real change, described on one page
  • A PO and a Team Lead available for two half-days
  • An environment: your GPUs, or the model of your choice

What you get

  • A merge request with its tests, in your repository
  • The audit log of every decision
  • Your team's verdict, on real code
  • The basis of a business case on your own figures

FAQ

Your risk committee's questions, and yours.

Where does my data run?

With you: on-premises or in a private cloud. HALO runs inside your perimeter, with your models or the provider of your choice. There is no outbound flow, licence check aside.

Does HALO work offline?

Yes. HALO Sovereign runs entirely on-premises, offline, with open-weight models on your GPUs. Clients already run it that way.

Which models can we use?

Open-weight models hosted by you, or the provider of your choice. Model and key are configured product by product and switched on the fly.

Can the agent merge code by itself?

No, never. The agent opens a merge request that your Team Lead reviews line by line. Merging is a human decision, attributed and dated.

Who is accountable for what goes to production?

Your teams. Every deliverable is approved by an identified human, and accountability for the release stays personal, as today.

Who owns the code and the business rules?

You do. Code stays in your repositories and formats. Rules captured by Brain are explicit, versioned and reviewed. You can evolve it all without depending on HALO.

Which tools does HALO integrate with?

GitLab, GitHub, Bitbucket and Azure DevOps for code. HALO works in your repository, with your conventions. The 48-hour proof checks the integration on your stack.

Which regulations and frameworks are covered?

HALO adapts to each country's regulatory framework: your regulator's cloud-outsourcing requirements, data protection (GDPR or the equivalent local law) and hosting of sensitive data in your own country. Sovereign mode keeps everything on your infrastructure.

How much does it cost?

Full cost includes licence, tokens, hardware and support. We measured a cost 30 % lower from the first project at a banking client. The business case is built with you, on your own figures.

How is HALO different from a code assistant?

An assistant writes code. HALO organises delivery: stories, specification, mock-up, code, acceptance, with human approval gates and a memory of business rules. Many clients use both.

What is the difference between a chatbot and an AI agent?

A chatbot answers a question. An AI agent acts: it chains several steps, uses tools (code repository, tests, tickets) and produces a deliverable, here a tested merge request. In HALO, every step is approved by an identified human.

How do you deploy AI agents in an enterprise?

In four steps: pick a real, bounded change, install HALO inside your perimeter (on-premises or private cloud), connect your repository and models, then let your teams judge the result. That is the principle of the 48-hour proof.

Is HALO GDPR-friendly?

HALO runs inside your perimeter: code and data do not go to a third party and no outbound flow is needed, licence check aside. This makes GDPR compliance easier, though it remains your responsibility and depends on your organisation.

Contact

You pick the change. Your teams judge the result. You decide what comes next.

Describe your need in a few lines. We will get back to you to scope the 48-hour proof.

contact@halosagents.com

What we need for the proof

  • A repository and its documentation, accessible to a technical account with scoped permissions
  • A real change, described on one page
  • A PO and a Team Lead available for two half-days
  • An environment: your GPUs, or the model of your choice

Send your request

48-hour proof request
Organisation: To complete
Sector: Banking and payments
Mode: Sovereign (all on-premises, offline)
Change: To complete

Your details are used only to reply to you. You can also write to contact@halosagents.com.