Decision intelligence · Data science · Applied AI

Complex data.
Clear decisions.

Know what to expect. Understand what drives results. Decide what to do next.

DynaSolve builds forecasting, risk models, and practical AI and data tools for growing businesses facing consequential decisions.

Explore the work

Work directly with the founder, from first question to implementation.

A clearer view aheadIllustrative model

Plan for the possibilities.

A forecast that makes uncertainty visible An illustrative historical trend continues into a forecast, with a widening range of possible outcomes. A forecast supports planning by showing uncertainty alongside the expected path. This is a concept illustration, not client data. Historical dataTodayPlanning horizon → Possible outcomes
Better decisions start with an honest model.Make the assumptions visible. Understand the tradeoffs.
Established in 2009Built for growing businesses
Founder-ledDirect access to senior expertise
From model to productionAnalysis your team can use
Dallas–Plano, TexasWorking with clients across the U.S.

01 / Expertise

Start with the question
that matters.

Whether you’re allocating a budget, planning for demand, or putting AI to work, we connect analytical depth with the decision your business needs to make.

01 Decision & risk modeling

What’s the right move
under uncertainty?

Compare pricing, capacity, and investment choices. Understand the upside, the downside, and the tradeoffs before you commit.

Simulation · Optimization · Scenario analysis
02 Forecasting & Bayesian analytics

What should we
plan for next?

Turn incomplete or noisy data into forecasts that show a range of outcomes, so your team can plan with uncertainty in view.

Demand forecasting · Time series · Bayesian models
03 Causal & growth analytics

What’s actually
driving results?

Measure the impact of marketing and operational changes. Separate what happened from what your investment actually caused.

Experimentation · Incrementality · Marketing mix
04 Data products & dashboards

How do we make this
useful every day?

Give your team a reliable way to explore scenarios, track performance, and repeat important analysis without rebuilding a spreadsheet.

Decision tools · Internal apps · Executive reporting
05 Modern data infrastructure

Can we trust the data
behind the decision?

Connect fragmented sources and build dependable pipelines, with the checks and documentation that make analytics repeatable.

Data pipelines · Quality checks · Analytics foundations
06 AI strategy & agentic workflows

Where can AI do
useful work?

Find practical opportunities in research, document processing, and analytics. Build workflows with clear evaluation and human oversight.

AI readiness · Workflow automation · Evaluation

02 / Representative work

Built around
real business decisions.

Illustrative applications of our expertise: the business questions we address and the practical tools we build to help teams act.

Energy / Decision & risk modeling

How much exposure
should you lock in?

Compare fixed and indexed energy strategies against uncertain usage and rates. See how each approach changes cost exposure and downside risk.

The decision toolA scenario model for comparing hedge strategies, expected costs, and downside exposure.

Put the next marketing dollar to work.

Use experiments and causal measurement to understand which activities create incremental growth.

The tool: an evidence-based view of spend and impact.

Move recurring analysis out of spreadsheets.

Bring finance, inventory, and operating metrics into a repeatable workflow with a clear interface.

The tool: a maintained data app or decision dashboard.

Turn predictive signals into action.

Model customer behavior, demand, or credit risk with transparent validation and a practical deployment plan.

The tool: a scoring engine your team can use and monitor.

03 / Our approach

A model is only valuable
when it changes a decision.

01 — Frame

Get the question right.

Define the decision, who needs to act, what data is available, and the cost of being wrong. Agree on what a useful result looks like.

You get: a clear scope and success criteria.
02 — Build & validate

Make the evidence usable.

Build the model, workflow, or data product. Test the assumptions, explain the limitations, and review the findings together.

You get: a tested analytical core.
03 — Put it to work

Leave your team equipped.

Deliver a clear interface, documentation, and a path to maintenance, so the work can be rerun, understood, and extended.

You get: a usable system and a practical handoff.
Not sure where to start?

A focused diagnostic can clarify the question, assess the data, and map the next step.

04 / The practice

Independent by design.
Accountable by name.

Jay BakerFounder, DynaSolve · Plano, Texas

DynaSolve brings rigorous analytical tools within reach of growing businesses. That’s been the purpose since 2009.

You work directly with founder Jay Baker on technical strategy, modeling, and implementation. The person helping frame your business question stays close to the work that answers it.

The practice combines applied data science, practical engineering, and business context to build tools your team can understand and use.

Rigor you can inspect.

Explicit assumptions, honest uncertainty, and validation that supports the decision.

Engineering you can keep.

Documented, repeatable systems built with maintainability in mind.

Let’s find the next step

What decision
is on your desk?

Tell us what you’re working through, what data you have, and what a better answer would make possible. You don’t need a finished brief to start.

Prefer email? info@dynasolve.com

Your note goes directly to DynaSolve. You can also email info@dynasolve.com.