How teams use Derive
From project scoping and reverse engineering, to analytics and embedded intelligence, Derive helps teams solve complex business problems with clarity, precision, and speed.
Derive is built for work where accuracy matters. It helps teams understand complexity, plan with confidence, extract meaning from existing systems, and turn data into reliable answers.
Whether you are evaluating a modernization project, reverse-engineering legacy code, analyzing business performance, or embedding analytical power through an API into your own software, Derive gives you a more reliable foundation to build on. Most organizations are not facing one isolated problem. They are dealing with connected systems, connected decisions, and connected risks. Derive is built for that reality.
One platform, multiple paths to value. Less guesswork. Less manual effort. More clarity from the start.
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Modernization projects
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Reverse-engineering
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Data analytics
API
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Scoping modernization projects with facts, not estimates
Most modernization projects begin before anyone truly 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 changes that. It analyzes entire repositories to reveal complexity, dependencies, architecture, and effort, so the project can be understood for what it is, not what people assume it to be.
That creates a stronger starting point for planning. Teams can build more accurate statements of work, budget with more confidence, and make better decisions about timeline and staffing before commitments are made. They can also see how changes in team size or delivery expectations will affect the work ahead.
For service providers, that means more grounded scopes and less contract risk. For internal teams, it means understanding whether modernization is the right move before time and budget are committed.
With Derive, teams can:
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Analyze entire code repositories using deterministic methods for a holistic view of complexity, architecture, and dependencies.
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Estimate effort from the real condition of the system.
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Get recommendations on timeline and development team size.
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Build more accurate scopes of work and budgets.
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Test how staffing changes or timeline targets affect delivery.
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Reduce execution risk by planning from data, not best guesses.
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Decide whether modernization is the right path before committing to it.
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Reverse-engineer code into usable business and development assets
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 incomplete. Context is missing. What a system appears to do is not always what it actually does.
Derive makes that logic visible.
Through a structured reverse-engineering process, Derive analyzes code to uncover what the system is doing, how its parts relate, and where critical business logic lives. It turns opaque systems into something teams can understand, discuss, and act on.
That understanding can then be turned into useful outputs. Derive can produce business requirements documents, developer tickets, and other modernization artifacts directly from the analysis. Teams can shape those outputs to match their own standards, refine them in the application, and publish them into tools like Jira.
It also helps separate essential business logic from technical debt, so teams can preserve what matters and leave behind what does not. And because context matters, Derive can be configured with additional information about how the business works, improving the relevance of the analysis it produces.
With Derive, teams can:
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Understand what their code is actually doing through a robust reverse-engineering process.
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Reveal business logic hidden inside hard-to-read or poorly documented systems.
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Generate BRDs, tickets, and other modernization artifacts directly from analysis.
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Customize artifact templates to fit internal design and development standards.
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Refine outputs before publishing them into tools like Jira.
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Identify technical debt and separate it from the logic worth preserving.
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Provide business context to improve the quality of the analysis.
Ask better questions of your data, and get answers you can trust
Most organizations have data. Few have a fast, reliable way to turn it into clear answers.
Derive gives teams direct access to analytical power through natural language. Users can ask questions in plain English and get analysis grounded in real computation, not vague summaries or black box output.
That makes serious analysis easier to access across the business. Teams can explore performance, investigate change, identify drivers, compare outcomes, and examine what may happen next without relying on long handoffs for every new question.
Derive supports mathematical, statistical, and machine learning operations in one environment. It can help users understand what happened, why it happened, and what could happen next. That creates a stronger foundation for forecasting, planning, and decision-making.
It also turns analysis into an asset. Models built in Derive can be reused, shared, improved, and deployed into automated workflows. Good work does not disappear after one use. It becomes part of how the business operates.
With Derive, teams can:
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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 real data operations.
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Perform mathematical, statistical, and machine learning analysis in one environment.
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Understand what happened, why it happened, and what may happen next.
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Build models that become reusable company assets.
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Share and improve analytical assets over time across teams and workflows.
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Deploy analytical processes into repeatable, automated operations.
Bring Derive into your products, tools, and agents
Our API makes the platform programmable. It gives teams direct access to Derive’s analytical capabilities, with precise control over how those capabilities are used.
That means Derive can extend beyond a standalone application. It can power customer-facing experiences, internal tools, autonomous workflows, and AI-driven systems that need stronger analytical depth behind them.
For customer portals, Derive can bring real analytics into chatbot and embedded experiences. For internal teams, it can support tools and workflows that need dependable computation behind the scenes. For product teams, it offers a faster way to build on top of a mature analytical platform instead of recreating that capability from scratch.
It also gives AI agents a stronger foundation. By connecting agents to Derive, teams can improve stability, deepen analytical output, and reduce reliance on weak reasoning where precision matters.
With the API, teams can:
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Control exactly which Derive capabilities are exposed through API calls.
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Embed Derive analytics into chat experiences inside customer portals and applications.
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Create autonomous tools that draw on Derive’s analytical power.
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Connect AI agents to more stable computation and deeper analysis.
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Build new applications on top of the Derive platform instead of starting from zero.
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Extend Derive into existing software ecosystems and operational workflows.
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Deliver richer analytical experiences directly to end users.
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, act on better information, and move forward with more confidence from the start.