This new model of human-centered intelligence helps enterprises close the Quality Intelligence Gap, achieving 50% faster debugging, 30% faster feature delivery, and 30% productivity gains across delivery teams.
It keeps human understanding at the center of decisions while advancing expert-guided, open-source–based AI adoption.
After nearly two decades of helping global enterprises improve software quality and delivery speed, we are taking a major step forward. We have launched Abstracta Intelligence, our new AI-powered delivery platform that brings measurable, human-centered intelligence to software delivery.
This launch formalizes our model to close what we call the Quality Intelligence Gap: the disconnect between what AI produces and what teams need to understand to make safe, value-aligned delivery decisions.
“Our goal is that, for 90% of recurring quality issues, like hard-to-reproduce bugs, inconsistent data, or unstable environments, teams will have AI agents solving them, saving up to 70–80% of their time. Abstracta Intelligence makes that vision real while keeping humans at the center,” emphasizes Sofia Palamarchuk, Co-CEO at Abstracta.
Abstracta Intelligence links delivery tools and environments (Jira, Postman, Playwright/Selenium, CI/CD pipelines, AS/400, core banking systems, etc.) with an AI-powered comprehension layer (RAG + prompts) and the knowledge of developers and quality teams.
Banks, fintechs, and global enterprises already rely on us to enhance the KPIs that matter most: release velocity, automation coverage, defect leakage, and operational efficiency.
Learn how your teams could integrate AI into their delivery process, safely, transparently, and at scale.
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Why We Built It
Throughout these years, we’ve seen many organizations eager to adopt AI but uncertain about how to move from experimentation to real business value. That challenge inspired us to design Abstracta Intelligence: an Abstracta solution that integrates frameworks, copilots, and context-aware agents with a proven services model.
A 2025 MIT study found that while 84% of developers use or plan to use AI for coding, only 33% trust its results. At the same time, 42% of organizations have abandoned AI initiatives (Gartner, 2025) due to unmet expectations and integration challenges.
We created Abstracta Intelligence to help teams minimize delivery waste, reduce quality risks, and gain a clear readiness signal before each release. Unlike one-size-fits-all AI tools, our solution adapts to each enterprise’s systems and pipelines, combining automation with human expertise to keep adoption safe and measurable.
At its core lies Tero, our open-source framework for AI agents. Tero empowers teams to create and use quality and development agents collaboratively, while Abstracta Intelligence extends that foundation with enterprise copilots, governance, and adoption frameworks.
While Tero is free and community-driven, Abstracta Intelligence provides the expert guidance, guardrails, and support enterprises need to adopt AI at scale and with accountability.
The platform integrates seamlessly with existing enterprise copilots, tools, and AI ecosystems via the Model Context Protocol (MCP), extending their context, reliability, and traceability for quality-driven delivery.
Key Impact from Real-World Pilots
Abstracta Intelligence has already demonstrated significant, measurable results across multiple industries:
- 50% faster debugging: In banking pilots, teams resolved incidents twice as fast by identifying failures earlier, reducing backlog pressure, and improving reliability.
- 30% faster feature releases: Fintech teams automated API and SQL validations to shorten release cycles without compromising compliance.
- 30% productivity gain: Across sectors, engineers saved hours of repetitive work — from test generation to system documentation — freeing up time for higher-value development and innovation.
As our Co-CEO Sofía Palamarchuk explains, many of the CIOs and CTOs we speak with face the same challenge: scaling AI with measurable ROI. “With Abstracta Intelligence, enterprises gain up to 30% higher productivity and safer adoption, without losing the human expertise that defines quality software,” she adds.
“We call the disconnect between AI outputs and delivery decisions the Quality Intelligence Gap—and this platform is built to close it,” Sofia emphasizes.
Sofia’s words illustrate how we’re transforming AI adoption into real business impact, accelerating delivery, strengthening reliability, and empowering teams to focus on what matters most.
One of our fintech clients put it simply: “Abstracta Intelligence gave us measurable improvements in weeks, not months. Release cycles were shortened by 30%, debugging time was cut by half, and the transparency of the dashboards gave us clarity we’d been missing for years. It allowed us to bring AI into our delivery model responsibly, without risking compliance or reliability.”
What Makes Abstracta Intelligence Unique
We believe that true innovation in software delivery happens when technology and people work together. Abstracta Intelligence closes the Quality Intelligence Gap by connecting three fundamental layers—systems, context, and people—and combines them into a single, integrated model:
- Tero Framework: An open-source foundation to build AI agents for QA and delivery, connected to real enterprise tools and data.
- AI Experience (AIX): Structured adoption programs that help teams integrate AI efficiently and responsibly, with the right balance of enablement and governance.
- Impact Dashboard: Real-time visibility into time saved, defects prevented, and delivery speed improvements.
Together, these components make Abstracta Intelligence the only end-to-end platform that embeds AI safely into the delivery pipeline, with transparency, traceability, and measurable ROI.
Our Strategic Vision
Abstracta Intelligence is designed to help enterprises move beyond experiments and hype into a new phase of software delivery — one where speed, quality, and resilience become the default. It reflects our broader mission: helping the world build better software through quality, innovation, and community.
For nearly two decades, Abstracta has been trusted by banks, fintechs, and global enterprises—including Broadcom, BBVA, Santander, Pernod Ricard, and Shutterly—to improve the KPIs that matter most: release velocity, defect leakage, automation coverage, and operational efficiency.
With Abstracta Intelligence, we now lead a new era of Quality Intelligence, where speed, reliability, and human-centered innovation define software delivery. This marks the beginning of a new era of quality intelligence — where human understanding and AI capability work together to deliver better outcomes, faster.
To learn more about how we’re applying AI to improve quality engineering and delivery at scale, visit our Solutions Page.
Organizations interested in early access to enterprise pilots can explore details online or contact us directly.
FAQs about Abstracta Intelligence
What Is Abstracta Intelligence?
An AI-powered delivery platform for enterprises that brings context-aware agents, copilots, and automation into your pipelines—with human expertise and measurable outcomes.
How Is It Different from Tero?
Tero is the open-source framework of Abstracta Intelligence, built to empower QA engineers and developers to guard the quality of their software.
Abstracta Intelligence builds on it to give enterprises everything they need to scale AI adoption efficiently and responsibly.
What Is an AI Agent?
An AI agent is a software system that can perceive its environment, make decisions, and take actions to achieve specific goals — often autonomously or semi-autonomously. AI agents inside Abstracta Intelligent are context-aware assistants that connect to specific systems and gather context to perform specialized tasks for development and QA, like generating system documentation, explaining the code, test generation, log analysis, or release readiness checks.
Do I Need to Change my Stack?
No. Our agents connect to your systems and tools through specific connectors and open protocols like MCP.
How Does MCP Fit Into All This?
The Model Context Protocol (MCP) is what allows Abstracta Intelligence to “speak” with your existing systems and tools. It standardizes how context is shared, so AI agents can collaborate safely across environments—without silos or vendor lock-in.
What Does “Quality Intelligence” Mean?
Quality Intelligence is our approach to using AI not only for automation, but for understanding how an application works. It turns every line of code, test, log, and metric into actionable insight, so teams can make informed decisions with context, not guesswork.
What is the Quality Intelligence Gap?
It is the gap between what the AI can do, tasks it can perform autonomously, and what qa teams need to understand.
How Does Abstracta Intelligence Close the Quality Intelligence Gap?
By connecting systems, context, and human expertise. The platform transforms AI outputs into traceable evidence and shared understanding, helping teams see why things happen, not just what happened.
What’s the Typical Pilot Length?
Depends on the use case, a small pilot can take 3–6 months, covering one critical workflow and 2-4 specialized agents. Enough time to see the impact without wasting valuable time.
Can I Try It for Free?
Yes—our open-source framework, Tero, is free to use and includes prebuilt AI agents. For guided adoption, specialized agents, and enterprise pilots, let’s talk.
Is It Only for QA Teams?
No. We support delivery, DevOps, and engineering teams from all industries as well.
The main audience of Tero is engineering and QA teams, but anyone who participates in the software delivery cycle will benefit from the solution.
How Do You Enable Responsible AI Use?
With clear governance, human-in-the-loop design, and measurable checkpoints at every stage, we keep AI under control through guardrails that keep it traceable, transparent, privacy-respectful, and human-accountable — the core principles of Quality Intelligence.
How We Can Help You
Founded in Uruguay in 2008, Abstracta is a global leader in software quality engineering and AI transformation. We have offices in the United States, Canada, the United Kingdom, Chile, Uruguay, and Colombia, and we empower enterprises to build quality software faster and smarter. We specialize in AI-driven innovation and end-to-end software testing services.
We believe that actively bonding ties propels us further and helps us enhance our clients’ software. That’s why we’ve forged robust partnerships with industry leaders like Microsoft, Datadog, Tricentis, Perforce BlazeMeter, Sauce Labs, and PractiTest.
We’ve seen teams cut debugging time by half and releases by a third. Let’s discuss what that could mean for you.
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