Solution Database / Science and Research
Scientific figure studio
Valid results are communicated through unclear figures. Visual clarity with traceability to the supplied numerical results.
01The offer
For researchers preparing manuscripts and presentations, turn verified analysis outputs and publication requirements into publication-ready figures and captions. Address the recurring problem: valid results are communicated through unclear figures. The value hypothesis is a more complete, reviewable deliverable with less repeated preparation; the pilot must establish whether that benefit is real.
- For
- Researchers preparing manuscripts and presentations
- Takes in
- Verified analysis outputs and publication requirements
- Delivers
- Publication-ready figures and captions
- Message
- Scientific figure studio for researchers preparing manuscripts and presentations. Visual clarity with traceability to the supplied numerical results. Demonstrate the claim through a before-and-after research figure redesign.
- Lead magnet
- A before-and-after research figure redesign
02How it works
- Choose appropriate encodings
- Preserve numerical values
- Check labels and units
- Apply consistent styles
- Draft factual captions
- Export publication formats
Workflow
Create a brief, upload reference material, choose constraints, review a small set of directions, refine the selected direction, request client approval, and export a versioned delivery pack. Start with verified analysis outputs and publication requirements and finish with publication-ready figures and captions.
AI and people
Use language models to interpret briefs and visual models where appropriate to generate or adapt assets. Keep factual attributes in structured fields. Validate dimensions and export formats through deterministic checks. A creative reviewer confirms visual quality and fidelity before delivery.
Screens
Key screens: Figure gallery, chart editor, caption review. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. In this product, the first view is figure gallery, followed by chart editor and caption review.
Admin
Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material.
03Market gap
Alternatives buyers use today
Freelancers, creative agencies, generic generation tools and existing design applications. Differentiate on this specific proposed advantage: visual clarity with traceability to the supplied numerical results. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.
Where this wins
A reusable library of approved styles, production constraints and review examples, together with reliable delivery for a narrow creative niche. For this solution, build around visual clarity with traceability to the supplied numerical results. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.
04Why now
Science and Research teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: valid results are communicated through unclear figures.
05Proof & signals
Channels where buyers gather: Academic editing services. Metrics that prove it works: Numerical fidelity, researcher acceptance.
Paid pilot
Deliver one real creative brief with a capped asset count and revision allowance. Compare usable deliverables, reviewer time and client acceptance with the existing production method. For this solution, use verified analysis outputs and publication requirements and evaluate publication-ready figures and captions. Agree success thresholds with the buyer before starting; collect a baseline for numerical fidelity, researcher acceptance. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.
06Execution plan
MVP
Begin with researchers preparing manuscripts and presentations and one recurring use case. Build the first two modules: choose appropriate encodings; preserve numerical values. Provide operator assistance for the third module: check labels and units. Deliver publication-ready figures and captions through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
First 30 days
Week 1: interview five prospective buyers in this segment: researchers preparing manuscripts and presentations. Ask to see a recent example of the problem and their current process. Week 2: prepare this demonstration using authorized or synthetic material: a before-and-after research figure redesign. Week 3: present it through academic editing services and seek one narrowly scoped paid pilot. Week 4: review numerical fidelity, researcher acceptance, total delivery effort and a concrete renewal decision before increasing scope.
After the pilot
After paid pilots establish value, automate the remaining modules: apply consistent styles; draft factual captions; export publication formats. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.
Retention
Save approved styles and constraints, offer repeat production batches, and expand only into adjacent asset formats the same buyer already commissions.
Integrations
Authorized datasets, papers, protocols, code and research records. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. These are candidate integration categories, not verified supported connectors.
07Investment and running costs
| Phase | Scope | Time | Budget |
|---|---|---|---|
| MVP | One buyer segment, one recurring use case; first modules: choose appropriate encodings; preserve numerical values. Manual review in the loop. | 7 days | $11,500 |
| Paid pilot | Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers. | 8 days | $15,000 |
| Full product | Remaining modules: apply consistent styles; draft factual captions; export publication formats. Self-serve onboarding, billing, monitoring and the wider integration set. | 3 weeks | $20,500 |
| Total | $47,000 | ||
| Running | Hosting | AI usage | Total a month |
|---|---|---|---|
| MVP and paid pilot (about 3 customers) | $40–$80 | $150–$310 | $190–$390 |
| Full product (about 50 customers) | $160–$320 | $2,100–$4,200 | $2,260–$4,520 |
Revenue model to test
Test a USD 300-1,500 fixed pilot for one defined asset package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist design separately. These are test prices, not market benchmarks.
Cost drivers
Generation attempts, video or image processing, storage, reviewer hours, client revision rounds and licensed source assets.
Safeguards
Preserve original data, methods, citations and research limitations. Use researcher review and document every substantive transformation. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
Take it further
Concept proposal expanded from the 315-solution conversation. Demand, pricing, differentiation, build scope and integration feasibility are hypotheses, not verified market findings. Category link is inspiration rather than evidence of business viability.