Building the research infrastructure
for healthy aging.

The problem

Research decisions cross too many disconnected steps.

Finding a relevant paper is only part of the work. A team must identify the population, understand what a method measures, compare outcomes and translate assumptions into a study design. Those decisions need to survive review and remain useful when the question changes.

Atlas focuses on this handoff. The initial user hypothesis is a small aging-research group or clinical research unit. The potential buyer is the organization supporting its recurring research work; the budget owner and purchasing process still need to be established through interviews.

What you can explore

A concrete starting point for the thesis.

Consider a team assessing how to measure aging in a proposed study. It can inspect curated references, compare measurement approaches and explore sample size under explicit assumptions. The available tools demonstrate these individual tasks.

PhenoAge Explorer adds an example of a published clinical biomarker model. Evidence Copilot supports questions using selected prepared source notes. The calculators provide exports; a single saved, reviewable research package connecting these tasks is planned.

Product focus

The structure of aging research is the opportunity.

Atlas is pursuing a domain-specific workflow: which inputs a method requires, what it estimates, which populations inform it and how it relates to the outcome a team wants to study. These distinctions shape the interface and the research record.

This is a proposed product advantage to test with users. Its value should be demonstrated through reviewable work and repeated use, rather than asserted through generic AI capabilities or unmeasured accuracy claims.

Commercial hypothesis

Build value around the work a team returns to.

Public tools provide a useful entry point. Potential paid value lies in saved evidence collections, method comparisons, version history, reviewer feedback and team access. These capabilities are on the roadmap, not included in the current prototype.

Discovery will test which task repeats, what teams use today and whether the proposed workflow is worth paying for. Market sizing should follow that evidence: a defined organization segment, reachable buyers and a validated annual price. No revenue, customer or funding-round metrics are claimed here.

Next milestones

Turn a promising workflow into measured use.

• Conduct 10–15 workflow interviews and identify a narrow recurring task.
• Seek up to three design partners for a bounded, reviewable pilot.
• Measure preparation time, reviewer effort, corrections and return use.
• Test willingness to pay for the specific workflow that proves useful.

These are planned discovery goals. Product development priorities are a connected research package, expert review, source coverage and technical reliability. The founder leads software engineering; institutional scientific and educational activity is documented separately.