You didn't deploy software. You hired a workforce.
And nobody is managing it.
Orchestration Lab is a two-day, hands-on build lab run by INFINITEWARE for the technology teams of enterprises and government. By the end of it, your team can run multi-agent AI teams the right way: governed, secured, and accountable, on your own repository and inside your own controls.
Your team picked a model, wired some tools, shipped an agent. Then it stalled. That is not a model problem. It is a management problem, and it has seven named causes.
Four minutes, spoken or typed. No card, no call, your level by email.
What it is
A two-day build lab, in person, in Bahrain, delivered by the team that runs its own company on a fleet of more than seventy agents. Not a course with slides, and not a product you license.
Who it is for
Technology and engineering leaders in government, banking, telecom and large enterprise who already run one agent and now need to run many, within policy. Sixteen seats a cohort, two per organization.
What you leave with
Multi-agent teams you can govern: your own orchestration harness on your repository, with defined permissions, a bounded blast radius, and an audit trail your security and compliance officers can sign off on.
Who we work with
Trusted where the stakes are real.
Energy, sovereign funds, central banking, telecom and government. Organizations that do not hand their systems to people who are still figuring it out.
A selection of INFINITEWARE clients across engagements
The stack
Seven layers decide whether your AI compounds or stalls.
Most teams finish the first one, half-finish the sixth, and never name the rest. The lab builds all seven on your own repository, with the governance to run them: who may act, on what, within which limits, and with what record.
Scroll to assemble the stack
Everyone already solved this one.
Choosing a model is procurement, not strategy. Your competitor has access to the same weights you do, on the same day. Whatever advantage you think lives here, it does not. This is the only layer most companies ever finish, which is exactly why it cannot be where the value is.
An agent that only works when someone is watching is a demo.
The harness is what actually executes: unattended, on a schedule, surviving a crash, resuming where it stopped, reporting when it is done. Most teams have a script and a person who reruns it. That person is the harness, and they do not scale.
One agent is a script. Many agents are an organization.
Real work is decomposed, fanned out to specialists, gated at the points that matter, and reassembled. The moment you need two agents to cooperate you need the same primitives every engineering organization already has: division of labor, handoffs, review, and a definition of done.
Your agents have amnesia, and you are paying for it every session.
What persists, what is scoped to one task, what is shared across the fleet. Without this, every run rediscovers your codebase, your conventions, and your last three decisions from scratch. You are not buying intelligence. You are re-buying context, forever.
Your institutional wisdom should be a Git repo.
Every company keeps its judgment in people's heads, in Slack threads, in a deck nobody opens. That is why your agents behave like contractors on day one, forever. Wisdom that is not versioned, reviewed and diffed is not an asset. It is a rumor. This is the layer nobody has even named, and it is the one that compounds.
Access without blast radius is not capability. It is exposure.
What your agents can touch, what they can change, and what happens when they are confidently wrong. Every team wires tools. Almost none of them can answer what a bad run costs, or draw the boundary they would defend to their own security officer.
Agents that cannot talk to each other are just parallel scripts.
How work is handed off, how results are challenged, how one agent catches what another confidently got wrong. Verification between agents is the difference between a fleet that compounds accuracy and a fleet that compounds mistakes at speed.
Your level
Six levels. Most organizations are at L1 and believe they are at L3.
Every level above yours changes what your company can do, not just how fast it types. Two days moves a team from L1 to L4.
Chat
People paste work into a chat window and paste the answer back. Nothing is wired to anything.
How you know
AI does not appear anywhere on your engineering roadmap.
Assisted
Copilot in the editor. Individual engineers are genuinely faster, but the gain lives and dies with each person.
How you know
Your engineers are faster. Your organization is not.
Scripted
One agent doing one job, started by hand. It works, as long as the person who built it is in the room.
How you know
One team has a demo only they can run.
Orchestrated
Agents decompose work, fan out to specialists, and check each other before anything is called done.
How you know
Real work completes without a human in the loop.
Institutional
Agents inherit your company's memory and judgment. Context survives the session, the sprint and the hire.
How you know
A new agent is productive on day one, like a good hire.
Autonomous
The fleet initiates work, paces itself against a budget, and reports back. Management, not operation.
How you know
The fleet tells you what needs doing before you ask.
Two days in the lab moves a team from L1 to L4.
Assisted
Copilot in the editor. Individual engineers are genuinely faster, but the gain lives and dies with each person.
Your engineers are faster. Your organization is not.
Not sure which level is yours?
Four minutes with our agent. Six questions, a second agent scores the transcript, your placement by email.
The case study
Nine people. Enterprise reach.
We are not teaching this from a whitepaper. INFINITEWARE runs the function surface of a large enterprise with nine full-time people directing more than seventy specialist agents across eight standing business functions, with independent verification and continuous coverage.
The platform below is the one we operate the company with. In the lab we open it up, including the parts that broke on the way.
Read the field studySymbiote
Our orchestrator
Not a chat window with a company attached. Symbiote is the layer the fleet actually runs on - memory, harness, autonomy, tools and the rig underneath - and it is the same software we open up in the lab.
Screens from the INFINITEWARE product, shown as published.
Nobody storyboarded these.
These four films were made for a talk we gave to the Rotary Club. The brief went into the media function and the finished loops came back out - concept, shot list, generation, grade and cut. No designer opened a timeline.
That is the point of the layers. A function you can hand a brief to is not a faster prompt. It is a part of the company that runs whether or not you are watching.
Produced by the INFINITEWAREmedia function, August 2026
The assembled stack
Two days. Your repository. Multi-agent teams you can govern.
Your engineers leave with their own orchestration harness wired to their own repository, a memory and wisdom layer seeded with your actual context, a permission model with a defined blast radius that your security officer can defend, an audit trail of what every agent did and why, and a written assessment of where you sit and the next three moves.
Team Seat
$2,500
per engineer
One engineer, both days, the full artifact kit.
- Both days in the room
- The full artifact kit
- Your harness, on your repo
- Written assessment and next three moves
Squad
$8,000
four engineers
One company, four engineers at $2,000 each, plus a private pre-lab diagnostic call.
- Everything in Team Seat, four times
- Private pre-lab diagnostic call
- One company, one shared context
- $2,000 a seat instead of $2,500
Private In-House
From $30,000
up to 16 of your engineers
Two days on site, your repositories, your security model, plus 30 days of follow-up support.
- Up to 16 of your engineers
- Two days on site, your repositories
- Your security model, not ours
- 30 days of follow-up support
A mid-level engineer costs ~$40,000 a year
Or find your level first, free- Capped at 16 seats, maximum two per organization
- Admission by application. Everyone in the room is building
- Built for regulated environments: on-premise and sovereign-cloud patterns, data residency, and controls you can show an auditor
- Led by the INFINITEWARE team, including a Google Developer Expert, on the infrastructure INFINITEWARE runs its own company on
Apply
Everyone in the room is building.
The application is the filter. We read every one, and we turn down anyone who has not shipped something with a model yet. Government and regulated organizations can request a private lab under their own procurement and security requirements.
- Company or government email only, so we know who we are talking to
- 16 seats per cohort, maximum two per organization
- Private, in-house labs available under your own procurement and security requirements
- A reply within five working days, either way