Productization services for serious internal tools
We help companies turn critical internal spreadsheets, scripts, and R&D apps into robust, market‑ready B2B products.
From product definition and UX to engineering, AI, and GTM foundations, we handle the messy middle between “it works internally” and “customers can buy this.”
What we actually do
We turn messy, high‑value internal tools into solid software products for real users.
That includes scoping and UX, robust backends and data models, pragmatic AI, and just enough GTM so your new app can be adopted, sold, and maintained.
Internal tool to product
We turn your working internal spreadsheet, script, or app into a defined, sellable B2B product with clear scope and value.
Complex tools, simple to use
We redesign expert-only workflows so normal users can use your tool safely and efficiently.
Robust web applications
We rebuild brittle tools on maintainable, scalable web architectures your team can own.
Data-driven, responsive systems
We design data models and realtime features so your product feels fast and stays reliable under load.
AI that does real work
We add AI only where it reduces expert time or guides users through complex decisions.
Heavy analytics, under control
We turn complex analytical models into engineered services instead of fragile spreadsheets.
High-fidelity technical UIs
We build performant 3D and visualization interfaces for engineering and planning tools.
From legacy to maintainable
We migrate logic out of legacy Excel, Access, and scripts into clean, documented systems.
Ready to put in front of customers
We give your new product the story, pricing, and assets it needs for launch.
Built to be owned, not outsourced
We set you up to run, extend, or commercialize the product without long-term agency lock-in.
Designed for complex, high‑value tools
Every project is different, but most follow the same shape. We price around clear phases so you know what you are paying for and when you can stop.
Fixed‑fee starting point
A focused 4–6 week engagement to understand your tool, its value, and whether productization makes sense.
$15,000 - $35,000
on averageMost assessments land in the $15k–$35k range, depending on tool complexity and number of stakeholders.
- Deep review of your spreadsheet, script, or internal app
- Interviews with 1–3 domain experts and key users
- Extraction of core logic, workflows, and edge cases
- Productization Blueprint with options: keep internal, modernize, or pursue external product
- High‑level timeline and budget ranges for later phases
Add‑ons
If the assessment says “go,” we scope design, build, and GTM as a separate, project‑based engagement.
Common add‑ons we price as separate line items once we understand your tool and goals.
- Detailed UX and visual design beyond core flows
- Extra integrations with internal systems and third‑party APIs
- Advanced 3D/visualization work and custom viewers
- Heavier AI features and real‑time copilots
- Ongoing maintenance and SLA‑backed support
We use a tight stack that balances speed, robustness, and long‑term maintainability.
Everything You Need to Know
Do we need a fully working tool before we talk?
No. It is enough to have a real internal asset: a heavy spreadsheet, prototype app, script bundle, or R&D tool that people rely on.
What if we only want an internal upgrade, not a product to sell?
That is fine. Many clients start with “make this safe, usable, and maintainable internally.” Productization for external customers can be a later step.
How long does the process take?
Typical ranges: Phase 0 is 4–6 weeks, and Phases 1–3 together usually take about 3–6 months, depending on complexity, integrations, and scope.
How much of our team’s time will this require?
We need access to 1–3 domain experts and a technical contact. Time is heaviest in Phase 0–1 for interviews and reviews, then drops to periodic check‑ins.
Who owns the IP when the project is done?
You do. All code, designs, and documentation specific to your product are yours. We only retain generic, reusable internal tooling and know‑how.
Can you work with our existing tech stack and team?
Yes. Our preferred stack is Django, Next.js, PostgreSQL, Redis, and AWS/GCP, but we can integrate with existing systems and coordinate with your internal engineers.
Is AI mandatory in every project?
No. We only add AI (Gemini, OpenAI, etc.) where it clearly reduces expert effort or user friction. If your data and processes are not ready, we will not force it.
How do we get started?
We start with a short call, and if there is a fit, a fixed‑fee Productization Assessment. You get a clear blueprint and options before committing to a full build.
