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Abstracta Intelligence

Quality Intelligence for Measurable Software Delivery

Abstracta Intelligence is an enterprise AI delivery platform for engineering and QA teams to scale faster and safer, with impact dashboards and AI enablement programs.

Built on Tero, our open-source agentic framework for context-aware AI agents.

AI that understands your delivery ecosystem, built on open standards and powered by the Model Context Protocol (MCP).

Quality Trusted By

What Makes Abstracta Intelligence Unique

Abstracta Intelligence closes the Quality Intelligence Gap by connecting systems, context, and people, and combines them into a single 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.
  • Impact Dashboard: Real-time visibility into time saved, defects prevented, and delivery speed improvements.

These components make Abstracta Intelligence the only end-to-end platform that embeds AI safely into the delivery pipeline.

Abstracta Intelligence Links

  1. Delivery tools and environments (Jira, Postman, Playwright/Selenium, CI/CD pipelines, AS/400, core banking systems, etc.)
  2. AI-powered comprehension layer (RAG + prompts)
  3. Knowledge of developers and quality teams.

Abstracta Intelligence combines context-aware AI agents with expert guidance to help teams

  • Detect and fix issues twice as fast.
  • Automate documentation, validation, and log analysis.
  • Improve visibility and governance across every release.

Tero + Abstracta Intelligence

The Open Engine + The Enterprise Layer

  • Tero is our open-source framework for building and running AI agents. It's free, community-driven, and includes prebuilt agents for Dev and QA.
  • Abstracta Intelligence builds on Tero to help enterprises scale AI adoption safely and strategically, combining domain-specific agents, governance, and measurable outcomes.

Tero gives you the engine. Abstracta Intelligence helps you drive it with governance, guidance, and a clear path to value.

Why Teams Choose Abstracta Intelligence

30% Faster Releases

Fintech teams shortened release cycles by automating API and SQL validations—speeding up launches without compromising compliance.


50% Faster Debugging

Banking teams identified failures twice as fast, reducing backlog pressure and accelerating recovery with AI agents focused on root-cause detection.


30% Productivity Gain

Repetitive tasks like test generation and system documentation were offloaded to agents, freeing time for innovation and higher-value work.


Safe, Guided AI Adoption

We design, deploy, and evolve agents step by step—ensuring responsible, traceable, and human-led AI use.

How It Works

01

Define the Goal

We identify where AI adds measurable value—debugging, validation, creation, or documentation.

02

Design the Agents

Each agent is built with purpose and specific to your context by providing detailed instructions and custom knowledge through RAG.

03

Integrate Seamlessly

Agents connect to your tools (CI/CD, ticketing, logs) via MCP for full interoperability and traceability.

04

Measure & Evolve

We monitor performance and refine or replace agents to keep your ecosystem adaptive and resilient.

FAQs about Abstracta Intelligence

What Is Abstracta Intelligence?

An AI-powered delivery platform for enterprises that brings context-aware agents 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 combines the output of AI tools with human experience to make informed decisions.

What is the Quality Intelligence Gap?

It’s the disconnect between what AI outputs and what teams need to make delivery decisions. Abstracta Intelligence closes it by connecting context, systems, and human insight.

How Long is a Pilot?

Typically 10–12 weeks to cover one critical workflow with 2–4 specialized agents.

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 one who participates in the software delivery cycle will benefit from the solution.

How Do You Enable Responsible AI Use?

Human-in-the-loop, governance by design, and traceable metrics at every step.


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Why Choose Abstracta?

Reason 01

Nearly 20 years of trust

We’ve worked with global banks, fintechs, and enterprises like Santander, BBVA, Broadcom, Pernod Ricard, and Shutterfly.

Bring AI into Delivery—For Real

From pilot to practice, Abstracta Intelligence is already powering enterprise delivery teams. You can be next. Start your AI journey with support, transparency, and results.

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