Pain
Teams are adopting AI, but release risk still comes from what those tools cannot see.
Before every release, teams need to understand system behavior, recent changes, hidden risks, test evidence, business rules, and legacy knowledge.
AI Agentic Framework for the Full Quality Cycle
Can Your AI See What Could Break Before Release?
Tero is Abstracta’s open-source framework for building context-aware AI agents for software quality. It helps QA, development, analysis, and delivery teams bring AI into real quality workflows.
Designed for complex software, legacy systems, and business-critical delivery.
Quality Trusted By
Why Tero
Fragmentation
Project context is scattered across documentation, tickets, code, logs, APIs, browsers, test suites, data sources, and experienced people.
This fragmentation makes quality work harder to scale in complex, legacy, regulated, or business-critical systems.
Tero Response
Tero turns fragmented knowledge into multiple specialized agents connected to real context, external tools, and complex workflows.
Teams can use those agents for testing, functional analysis, documentation, legacy understanding, risk prioritization, and delivery decisions.
Measured Impact
Tero gives leaders visibility into usage, cost, adoption, and impact as AI scales across quality workflows.
With Tero Enterprise, teams add governance, traceability, and expert support to connect agent adoption with delivery decisions.
Built for Complex Delivery Environments
- Legacy platforms, core systems, APIs, and critical integrations.
- Undocumented or partially documented system behavior.
- QA bottlenecks, regression pressure, and release uncertainty.
- Sensitive information, regulated environments, or business-critical workflows.
- AI adoption that needs visibility, cost control, traceability, and governance.
What Teams Can Do with Tero
Build Custom Agents for Quality Workflows: testing, documentation, legacy understanding, risk identification, and delivery decisions.
Connect Agents to Real Context with tools like Jira, MCP, Browser, Web, and Docs, so they work with real systems, data, tickets, and documentation.
Test Agent Behavior Before Scaling. Run agent test suites, review behavior, and improve prompts, models, and tools before using agents in critical workflows.
Scale AI Adoption Across Teams: Share agents across teams, use them through Tero Copilot, and track usage, cost, and impact in Tero's AI Console.
Open Source Foundation. Enterprise Adoption Path
Tero is the open-source foundation for creating and running AI agents for software quality. Teams can explore the framework, create agents, adapt them to their workflows, and contribute to the community.
For organizations that need enterprise adoption, Tero also scales through Abstracta Intelligence.
Tero Enterprise + Abstracta Intelligence
Tero Enterprise, delivered through Abstracta Intelligence, helps organizations adopt AI agents across real delivery workflow, with structure, and governance.
It connects Tero’s open-source foundation with Abstracta’s nearly 20 years of quality engineering expertise, adoption programs, impact visibility, and enterprise configuration support.
Does Tero Make Sense If Your Team Already Uses AI for Code?
Yes. Tero complements AI coding assistants and coding agents like Claude Code, Cursor, GitHub Copilot, and other tools.
- AI coding assistants and coding agents help teams move faster on code-related work.
- Tero brings AI agents into the quality work around the code: testing, functional analysis, legacy understanding, knowledge reuse, risk prioritization, and delivery decisions.
It extends AI adoption from individual code assistance to a shared quality practice with context, traceability, collaboration, and governance.
Why Choose Abstracta?
- Quality Engineering Expertise: Nearly 20 years improving software quality in complex, high-risk, and business-critical environments.
- AI-Native Delivery: We embed AI into real QA and engineering workflows, not as an isolated tool on top.
- Human + AI Model: Experienced engineers work with AI agents to improve speed, quality, reliability, and delivery confidence.
- Open-Source Leadership: Creators of Tero, and Browser Copilot, and more, with a strong commitment to open, flexible engineering tools for quality.
- Enterprise Adoption Experience: We help teams move from AI experiments to structured adoption with governance, enablement, and measurable impact.
See Tero Enterprise in Action
Want to bring AI agents into real software quality workflows?
Request a Tero Enterprise demo.