How teams use Derive
One analytical engine. Multiple paths to value.
Derive API helps teams bring deterministic analytical intelligence into products, workflows, agents, and enterprise systems.
Use it to understand complex systems, analyze business performance, reverse-engineer legacy code, scope modernization work, and turn operational complexity into evidence.
Derive is built for work where accuracy matters. When decisions depend on code, data, systems, and operational context, Derive helps reduce guesswork and return answers your users can inspect, explain, and trust.
Most modernization projects begin before anyone fully understands what is inside the codebase. Teams estimate project scope from interviews, partial documentation, and rough assumptions. Risk enters before the work even begins.
Derive helps change that.
For modernization work, The Intelligence Factory works with clients to analyze repositories, dependencies, architecture, business logic, and effort so teams can scope the work from evidence instead of assumptions.
This is a consulting-led engagement powered by Derive, not a self-serve API feature. Our team works with clients to understand the system, define the modernization question, review the codebase and context, and produce findings that support planning, budgeting, staffing, and delivery decisions.
That creates a stronger starting point. Service providers can build more accurate statements of work and reduce contract risk. Internal teams can better understand whether modernization is the right path before major time and budget are committed.
With a Derive-powered modernization engagement, teams can:
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Analyze code repositories to reveal complexity, architecture, business logic, and dependencies.
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Identify hidden risks before scope, timeline, and staffing decisions are locked in.
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Build more accurate scopes of work and budgets.
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Evaluate how staffing changes or timeline targets may affect delivery.
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Plan from evidence instead of best guesses.
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Decide whether to rebuild, refactor, replace, or leave systems alone.
Scoping modernization projects with facts, not estimates
Legacy systems often contain years of business logic, process rules, and operational knowledge, but that knowledge is buried in code few people fully understand.
Documentation is often incomplete. Context is missing. What a system appears to do is not always what it actually does.
Derive helps make that hidden logic visible.
For reverse-engineering work, The Intelligence Factory works with clients to analyze code, business context, system behavior, and modernization goals. This is a consulting-led engagement powered by Derive, not a self-serve API feature.
Together, we help uncover what the system does, how its parts relate, where critical business logic lives, and which parts of the system should be preserved, refactored, replaced, or retired.
That understanding can then be shaped into useful outputs, including business requirements, developer tickets, modernization artifacts, dependency summaries, and planning materials. These outputs are reviewed, refined, and adapted to the client’s standards before they are used in tools like Jira or internal delivery systems.
With a Derive-powered reverse-engineering engagement, teams can:
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Understand what legacy code is actually doing.
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Reveal business logic hidden inside hard-to-read or poorly documented systems.
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Separate essential business logic from technical debt.
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Create modernization artifacts that support planning, design, and delivery.
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Review and refine outputs before they are used in project systems.
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Provide business context to improve the quality and relevance of the analysis.
Turn legacy code into usable business and development assets
Derive API is available now. The full Derive application experience is coming soon.
The full version of Derive is being built for teams that want to work directly with analytical intelligence through a guided, natural language application, not just embed it through an API.
It will give business teams, analysts, data teams, and leaders a way to explore performance, investigate change, identify drivers, compare outcomes, and examine what may happen next without waiting on long handoffs for every new question.
The goal is to make serious analysis easier to access across the business. Users will be able to ask questions in natural language while Derive runs structured analysis, statistical methods, and repeatable analytical workflows behind the scenes.
For organizations that need more than self-serve API access, The Intelligence Factory can also work with clients to define the right questions, connect the right context, and shape analytical workflows around real business needs.
With the full Derive application, teams will be able to:
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Ask business questions in natural language and move from question to analysis faster.
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Get reliable, transparent answers grounded in data and context.
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Explore what happened, why it happened, and what may happen next.
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Use mathematical, statistical, and machine learning methods without needing every user to become a specialist.
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Turn repeatable analysis into reusable business assets.
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Build a stronger analytical foundation for planning, forecasting, and decision-making.
Ask better questions.
Get answers you can prove.
Derive API lets teams embed deterministic analytical intelligence into products, tools, agents, and enterprise workflows.
Use it when your application needs more than generated text. Derive connects questions to structured analysis, logic, math, and context, then returns output your product can display, explain, store, or reuse.
Common API uses include customer-facing analytics, internal tools, agentic workflows, embedded decision support, and products that need reliable analytical output behind the interface.
Embed analytical intelligence into products, tools, and agents.
See where Derive fits
Whether you are planning a modernization effort, trying to understand legacy systems, building analytical workflows, or creating new AI-powered products, Derive helps teams see the work clearly before decisions become commitments.
Start with the use case that matters most.
Modernization. Reverse engineering. Analytics. Embedded intelligence.
Derive gives teams a more reliable way to understand the work, reduce uncertainty, and move forward with evidence.