Simulate
Your operation, modeled end to end — processes, constraints, dependencies — and stress-tested before reality tests them.
Engineered for regulated enterprises
IntelligenceDesigned To Evolve
Prescriptive systems that simulate your operations, weigh risk in real time, and deliver the next best action — inside the systems you already run.
0msInference Time
0.00%Platform Uptime
0/7Autonomous Runtime
0.0MDecisions Simulated
> The problem
The BottleneckIsn't Data
Every enterprise system produces more signal than any team can absorb. The hard problem is no longer knowing — it is choosing: the optimal action, at the right moment, with the risk understood. That is the problem Ecarus engineers against.
* The approach
We Don't Report The Future.We Code It.
Prediction tells you what is likely. Prescription tells your systems what to do about it. Our proprietary architectures close that distance in four moves.
Analyze
Risk quantified as it forms, not reported after it lands.
Prescribe
The next best action, ranked against your constraints, delivered with the reasoning attached.
Act
Recommendations land inside the systems you already run — ERP, queues, approval flows — where work actually happens.
< The work
End-To-End AI,Delivered And Yours
# The products
From MicrosecondsTo The Boardroom
One discipline — the optimal decision at the right time — engineered at four different timescales.
@ Where it runs
Your Domain,Your Constraints
Prescriptive systems are only as good as their grasp of the domain. These are the ones we know from the inside.
Energy
Wind production, maintenance windows, and siting — optimized as one decision, not three departments.
See ReconAutomotive & Manufacturing
From microsecond telemetry to line-level decisions: physical systems, instrumented and optimized live.
See V-CoreScientific Research
Data, models, and tools in one loop — research cycles measured in days, not quarters.
See MateriaLabEnterprise Operations
From the ERP to the boardroom: the decision layer that turns reporting into action.
See Basis
% The commitments
Built Like Infrastructure,Because It Is
Isolation by Architecture
Your data never leaves your perimeter. Every deployment runs as an isolated, single-tenant architecture built for your organization alone.
Engineering Discipline as Standard
Technology-agnostic by design. Documented, fully test-automated, and held to global engineering standards — code your teams can audit and extend.
Runs Where You Run
Private cloud or on-premise, with zero data loss and high availability. The system adapts to your infrastructure, not the other way around.
~ The runtime
Systems That ImproveAfter They Ship
A model that is correct on the day it launches is a snapshot. What we put in production is a runtime: it keeps score against your operation, and earns its next version.
Feedback
Learns from its own record
Every prescription and the outcome it produced is retained, so the next version is trained against your operation's history rather than a generic benchmark.
Evaluation
Proven before it is promoted
Candidate models are replayed against held-out history and measured on the decisions that matter. Nothing reaches production on a benchmark score alone.
Autonomy
Bounded by threshold
Where confidence and impact allow, the system acts. Above the line you set, it escalates to a person instead.
Trace
Every decision inspectable
Inputs, alternatives considered, and the action taken are kept per decision — an audit trail your teams and your regulators can read.
Control
Versioned and reversible
Models and policies are pinned to versions and rolled back independently, without taking the operation down with them.
= The path
From BriefingTo Production
No discovery theater. Three steps, and something concrete in your hands at the end of each.
Technical briefing
Your architecture, your constraints, the decision you want autonomized. Engineers on both sides of the table.
You leave with a scoped problem statement and our honest read on feasibility.
Pilot on your data
A scoped prescriptive loop, built inside your perimeter, measured against a baseline you choose.
You leave with measured results against your own baseline — not ours.
Production, in your infrastructure
Private cloud or on-premise, documented and test-automated — your team can audit, operate, and extend it.
You leave with a system your team operates. Documented, tested, yours to extend.
+ The record
Organizations WeWork With
Presidency of the Republic of Türkiye
Ministry of National Defence
Ministry of Foreign Affairs
ASELSAN
Thales
Philip Morris
TEB
Hacettepe University
National Defence University
Memur-Sen
AKUT
BESAThe last mile of AI is a decision.
? The questions
Asked BeforeEvery Engagement
Is this a black box?
No. Every recommendation ships with its reasoning — the simulated scenarios, the risk weighting, the constraints it honored. Your operators see why before they act, and the final say stays with them.
Where does our data live?
Inside your perimeter, always. Every deployment is an isolated, single-tenant architecture on your private cloud or on-premise hardware. Nothing is pooled, shared, or used to train anything for anyone else.
Will this lock us into your stack?
The opposite, by design. We are technology-agnostic: documented code, full test automation, standard interfaces. Your team can audit it, operate it, and extend it without us in the room.
How is this different from our BI and forecasting tools?
Those tell you what happened and what is likely. Ours tells your systems what to do about it — a simulated, risk-weighted action delivered into the ERP, queue, or approval flow where work happens.
Do we need a data science team to run it?
No. The system is built to be operated by the people who own the process, not by a lab. Where your engineers want to go deeper, the documentation and interfaces are built for exactly that.
Can it run fully autonomously?
Where you want it to — and only there. Autonomy is configured per decision: some actions execute automatically within limits you set; others go to a person with the reasoning attached. The boundary is yours to draw, and yours to move.
How do you handle security reviews?
As part of the work, not as an obstacle to it. Single-tenant isolation, on-premise options, and documented, auditable code answer most of a security questionnaire by construction — and it is our engineers who sit in the review.
Bring Us YourHardest Decision
Your architecture, your constraints, one decision you wish your systems could make on their own. We will tell you, plainly, what we would build.