Federal AI R&D

Fast AI R&D for mission decisions.

VISIMO builds testable, traceable, and defensible AI decision systems for federal teams working with incomplete, high-consequence data.

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R&D

fast

Outputs

traceable

Review

human

Mission console

Evidence to recommendation

Validated

Traceability

linked

Uncertainty

bounded

Replay

enabled

Human Review

required

Evidence stack

E1Sponsor data

provenance

E2Public source

context

E3Simulation run

baseline

E4Operator note

review

Decision loop

Reviewable

Assumptions logged

Confidence pulsed

Evidence linked

Built for technical review

Fast prototypes with evidence attached.

Federal R&D

AI assurance

Decision support

SBIR/STTR

We build

AI decision systems

Software-first prototypes for mission decisions that need evidence, uncertainty, and human review.

We serve

Federal mission customers

Program teams, technical evaluators, primes, research partners, and SBIR/STTR stakeholders.

We produce

Evaluation evidence

Artifacts that help stakeholders understand what works, what does not, and what should happen next.

What VISIMO does

Focused prototypes, not generic AI demos.

Explore the full capability set

Evidence-grounded decision systems

Systems that connect fragmented data, preserve source provenance, and generate recommendations users can inspect.

AI assurance and model validation

Tools for evaluating model behavior, identifying performance risk, and understanding when AI outputs should or should not be trusted.

Adaptive test and evaluation

Decision aids that help teams prioritize the next best test, compare alternatives, reduce wasted effort, and preserve a reviewable decision trail.

Geospatial and operational risk intelligence

Forecasting, routing, GIS, and risk-analysis tools for teams working in changing physical environments.

Capability imagery

Six ways VISIMO turns imperfect data into reviewable decisions.

Abstract evidence graph linking source data, model outputs, validation, and decision artifacts. — Evidence graph patterns for provenance, assumptions, and review paths.

VISIMO builds evidence layers that help mission users inspect where information came from, how it relates to other sources, and what assumptions shape downstream recommendations.

EvidenceTraceability

Evidence graph patterns for provenance, assumptions, and review paths.

Evidence Fusion and Knowledge Systems

VISIMO builds evidence layers that help mission users inspect where information came from, how it relates to other sources, and what assumptions shape downstream recommendations.

Selected work

Case-study patterns from mission AI R&D.

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AI assurance and model validation

MVPT

A model-validation case study focused on trusted autonomy, precomputed data transformations, and runtime assessment of AI reliability under novel mission conditions.

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Synthetic imagery and evaluation data

EIKON

A synthetic-imagery R&D effort that improved image-similarity metrics and showed how synthetic visual data can strengthen object detection when real examples are scarce.

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Evidence-grounded knowledge systems

Pelarion

A scientific-review workflow that achieved 80% recall and 86% precision in screening tests while keeping source-linked evidence and human review at the center of the process.

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Carbon capture forecasting

EmiFor

A DOE Phase I example focused on amine-emissions forecasting, physics-informed modeling, counterfactual analysis, and operational decision support for carbon capture systems.

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Case-study archive

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Experience across mission, research, and industry environments

Experience across federal, research, public-sector, and industry ecosystems.

“It is great to be able to connect others with VISIMO in order to get these data. I also hope this connection is the start of many more research efforts.”

Beth Hoffman

MPH, Center for Social Dynamics and Community Health, University of Pittsburgh

Explore VISIMO experience

Next step

Turn a mission question into a testable prototype.

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