AI systems
Could a different model reduce cost while meeting your measured quality threshold?
Model selection, prompts, tool policies, workflows
Founder-led optimization pilots
Improve what matters.
Verify what works.
We search for alternatives, test them against your baseline, and report what changed.
The question in this example
Fit the same workloads into a less expensive fleet without exceeding its capacity.
Run the search. Inspect the allocation. Then challenge it with a demand spike.
Cloud resource allocationInteractive model
Same workloads. A better fleet.
Search for a lower-cost allocation. Every workload must fit, and every result must pass a separate check.
Ready to search the allocation space.
0 checked in last search0 passed capacity checks
Basic first-fit— units
Candidate cost— units
Beyond five fixed rules—
Five-rule heuristic: — cost units across — hosts. Run the search to compare both references.
Baseline
— hostsFirst-fit placement, input order.
Your baseline will appear here.
Candidate
— hostsInspect the selected allocation.
Run search to see the result.
Separate verification
Awaiting a candidate
- Cost improves on five-rule heuristic
- —
- Every workload fits within capacity
- —
The checker recalculates CPU, memory and cost from the allocation, then checks that every workload appears exactly once.
How the example works
Workloads have CPU and memory requirements. Five host types have fixed capacities and example costs. The search tests different orders and placement rules within a budget of 256 candidates. A separate checker reconstructs each allocation and tests its limits. The hosted site runs this synthetic search on the server and returns its inputs, allocations and checks.
Both references are recalculated for the same demand and capacity policy. The stronger reference takes the best of five fixed deterministic rules, including cost-aware packing. The headline reduction compares the search with that reference; basic first-fit stays visible. This does not compare Istimthal with commercial solvers. The cheapest approach deliberately ignores capacity so you can see why a low price alone is insufficient. Headroom reserves at least 20% of each host’s CPU and memory capacity during the search. Results can tie the baseline; the search does not prove a global optimum.
Read the benchmark and reproduction method · Scope a paid pilot
Real search on synthetic workloads and cost units. This demonstrates Istimthal’s search-and-check process, not the full engine or a customer result. No real-world savings are guaranteed.
How a pilot works
We start with one decision and agree on the test before searching for an answer.
- 1
Agree on what matters
Define one problem, your current baseline, success criteria, and the limits that cannot be crossed.
Output: the problem and its limits - 2
Search, then challenge
Generate candidates within a fixed budget. Test the promising ones independently, including failure cases and matched controls.
Output: candidates and test results - 3
Make an informed call
Review the artifact, comparison, failures, and reproduction steps. Your team approves the next step.
Output: a go / no-go readout
Questions we can help test
The method fits repeated decisions with a trusted baseline and a checkable outcome. These are questions we could test together.
Tell us about your problemOperational policies
Can a schedule use fewer resources without missing service targets?
Scheduling, routing, allocation, resource control
Software & infrastructure
Which configuration lowers latency without crossing reliability limits?
Bounded code changes, service policies, parameters
Research
Does a proposed construction survive an independent check?
Finite constructions, hypothesis tests, controlled ablations
Decision systems
Will a new rule improve the cost and risk tradeoff on cases it hasn’t seen?
Bounded rules, selectors, reviewable recommendations
What you receive
The handover is more than a recommendation.
You receive the candidate, the comparison, and the test record. The report makes clear what changed, what failed, and where the conclusion stops.
Included in the handover
- CandidateThe artifact and its decision history
- ComparisonThe baseline and matched controls
- ChecksIndependent results, failures, and limits
- ReadoutReproduction steps and a written decision
A tie or a no-go belongs in the report. Keeping a stronger baseline is a useful result.
Work with the founders
Istimthal is a Saudi-founded technology project developing evidence-first optimization for teams across domains.
A pilot starts with a conversation about your problem and the evidence available. Together, we establish the baseline, the evaluation boundary, and who owns the final decision.
We report what the checks show, including failed candidates. The deliverable is a result your team can review and test again.
contact@istimthal.comPilot questions
Fit, expectations, and what happens next.
What makes a good first problem?
A repeated decision with a measurable outcome, a baseline you trust, and a solution that can be executed or mechanically checked. We also need a bounded evaluation budget, an independent way to verify the result, and a named decision owner.
What happens after I join the waitlist?
We save your interest so the founders can contact you about early access or a pilot. Joining does not book an engagement, create a subscription, or trigger an automatic email. You can ask us to remove your details at any time.
Do you guarantee an improvement?
No. A pilot may produce a verified improvement, a tie, or a no-go result. If a simple control or your existing baseline wins, that belongs in the evidence. Scope, success criteria, and commercial terms are agreed before work starts.
Will anything change in my production system?
Nothing deploys automatically. Your team keeps control over security review, staging, approval, monitoring, and rollback.
Should I share data through this form?
Please share only a short, non-confidential description. We agree on data access, execution boundaries, retention, and handling before a pilot begins.
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Request a pilot
Join the early access list for founder-led pilots. A short description helps us understand whether the work is a fit.
Prefer a conversation?
contact@istimthal.com