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For researchers and business teams

Research experiments. Business algorithms.

Turn thesis experiments and business problems into reproducible, explainable, handoff-ready systems.

Research support Business algorithm project
Research experimentsModel optimizationScientific computingDecision systems
Students & researchers

The experiment is stuck

Scoped support from baseline and implementation to ablations and thesis prototypes.

Companies & R&D teams

The algorithm needs to ship

Build an evaluated, deployable system around real data, constraints and interfaces.

Start with the problem

Bring a question, not a specification.

We help turn an uncertain technical problem into a buildable algorithm, then make the evidence strong enough for a team, reviewer or customer to trust it.

01 / Frame

Can this method become reproducible code?

02 / Build

Paper-to-code implementation, experiment design, baselines and ablations.

03 / Prove

A runnable repository, documented assumptions and a validation report.

Selected work

Systems with evidence attached.

See all work

Deployed product / Research verification

Checking whether a citation exists is only the first step.

For AICheck, a reference is compared across multiple scholarly sources, normalized, and reported with field-level mismatches. The result separates “real paper” from “paper that actually supports this claim.”

Sources
Crossref, OpenAlex, Semantic Scholar, PubMed, Europe PMC
Output
Traceable matches, differences and uncertainty
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Ways to work together

One difficult unit at a time.

A small, direct engagement is usually the fastest way to discover whether an idea works.

GRS

Research experiment support

For master’s and PhD researchers: baselines, implementation, ablations and explainable handoff.

OPT

Optimization systems

Scheduling, routing, allocation and decision support built around your actual constraints.

RSE

Research engineering

Turn a paper, method or prototype into reproducible code and defensible experiments.

MLS

Machine learning systems

Focused prediction, ranking and detection systems with explicit evaluation and failure analysis.

Process

Small loops. Visible proof.

You see assumptions, intermediate results and risks early. No long black-box build followed by a surprise.

  1. 01

    Frame

    Define the decision, constraints, baseline and evidence needed.

  2. 02

    Prototype

    Build the smallest version that can disprove the idea quickly.

  3. 03

    Validate

    Benchmark, inspect failures and test sensitivity to assumptions.

  4. 04

    Ship

    Deliver documented code, interfaces and a practical handoff.