Frame the problem
The decision or workflow, who it serves, the environment it runs in, the constraints that bind it, the evidence already available, and the measure that will say it worked.
S0 / Intelligence systems
Better decisions. More agency. Faster knowledge.
Szero builds intelligence systems that help people and machines decide better — expanding what a team can direct, and how quickly its work becomes knowledge.
Consequential decisions. Capable operations. Technical discovery. We build products, pilots, and applied AI systems around your objectives, constraints, and evidence.
Products / Systems / Pilots / Consulting
How we work
Every system starts at S0.
S0 is the initial state: a real problem, a real environment, and nothing built for it yet. Each state after it adds capability that has already been tested against reality.
S0→S1→S2→S3→…
Choose the method
The problem selects the representation and the technique: solvers and control for constrained operations, learned policies where feedback is measurable, simulation where scenarios must be tested before they matter, specialized and foundation models where the signal is language, images, or unstructured evidence.
Connect it to real systems
An execution harness defines what the system may observe and do: tools and data, permissions, approvals where consequence demands them, verification of each step, recovery when a step fails, and durable state across long-running work.
Evaluate against reality
Historical replay, counterfactual comparison, simulation, adversarial and failure-mode tests, and an honest baseline: the way the work is done today. Evaluation is part of the architecture, and it decides how much the system is trusted to do.
Learn from outcomes
Decisions, actions, results, interventions, and failures are kept as evidence. That record improves policies, evaluations, and interfaces — and becomes knowledge your team can reuse long after the first deployment.
What we build
Intelligence applied to work that matters.
01 / Decide
Decision and optimization systems
Products and systems that improve a recurring decision under real constraints, with results you can measure against the way that decision is made today.
Pricing / allocation / scheduling / logistics / energy / planning / operational control
02 / Operate
AI and autonomous operations systems
Systems that coordinate tools, workflows, data, and approvals across long-running work. They verify progress, recover from failure, and keep people in command of what matters.
Tool use / workflow coordination / approvals / verification / recovery / long-horizon execution
03 / Discover
Engineering and discovery systems
Systems that help technical teams evaluate, simulate, run experiments, investigate software, and orchestrate research with a clear record of what was tried and what it showed.
Evaluation / simulation / experimentation / software investigation / research orchestration
04 / Advise
Applied AI consulting
A focused engagement to select the opportunity, frame the problem, design the architecture, choose the technology and models, define the evaluation, build a production pilot, and improve it from real outcomes.
Opportunity selection / problem framing / architecture / model selection / evaluation design / production pilots
Why Szero
Engineered around your objective.
We start from the decision, the environment it lives in, the constraints that bind it, and the outcome worth improving. That analysis chooses the methods — usually several, working together.
We are engineers and applied researchers, and we build the whole system: the method that decides, the software that acts, the evaluation that earns trust. We stay accountable to the outcome it produces.
- 01Optimization and controlConstrained decisions, planning, allocation, scheduling, and real-time operational performance.
- 02Reinforcement learning and adaptive policiesWhere actions produce measurable feedback and a policy can improve through experience.
- 03Simulation and specialized modelsDigital twins, scenario testing, and models that carry the structure of a specific domain.
- 04Foundation models, agents, and software engineeringLanguage and multimodal reasoning, tool use, workflows, integrations, interfaces, and dependable execution.
Principles
How we build, every time.
Human agency
People set the objective and stay in command of the system. Autonomy exists to carry their intent further than they could reach by hand.
Evidence first
Realistic tasks, failure modes, and an honest baseline come before anyone depends on a system.
Evaluation is architecture
Evaluation is designed with the system, runs continuously, and decides how much authority the system holds.
Clear boundaries
Permissions, limits, approvals, and escalation match the consequence of the action being taken.
Learning from outcomes
What happens after the system acts is the signal we trust most, and the one we design to capture.
Delegate decisions. Never delegate intent.
Company / Szero
Intelligence begins at S0.
Szero is an applied intelligence company. We build the complete system around a decision: how it is framed, the method that decides, the software that acts, the evaluation that earns trust, and the loop that makes the next decision better.
Our work exists to widen what a person or a team can direct — more decisions handled well, more ground understood, and more of what is learned kept for the next time.
Manifesto / From S0
Every capable system was once a blank state. S0 is a problem worth solving with nothing built for it yet. Everything after S0 is earned: a method chosen, a system connected, an evaluation passed, an outcome learned from.
S0→S1→S2→S3→…
Human intent sets the direction. The system carries it further than one person could reach alone, and gives back what it learned as knowledge the whole team can use.
Frame.
Decide.
Act.
Verify.
Learn.
Work with Szero
Bring us the difficult problem.
Tell us about a decision, an operation, or a technical challenge worth improving. We will tell you what we would build, how we would evaluate it, and where to start.
Contact Szero / hello@szero.ioA useful first message tells us:
- Which decision or workflow is difficult today
- What outcome would make the work valuable
- Which constraints, systems, and people are involved
- What evidence or data is available