What AgileAI Labs does

AgileAI Labs is a privately held software quality intelligence company headquartered in Manchester, New Hampshire, that develops and sells Spec2TestAI, an AI-native platform designed to govern quality across the enterprise software development lifecycle. The platform is organized into five integrated modules: Requirements Intelligence (32-measure analysis of user stories across INVEST, SMART, and REAL frameworks, with one-click automated defect cleanup before code is written), Test Creation & Data (ISTQB mathematical test generation via cause-effect graphing and decision tables combined with GenRocket-provided synthetic test data), Test Automation (plain-English test execution using AI computer vision, a ten-layer resilience chain, self-healing, and selector memory), Predictive Quality (pass/fail forecasting at 96% measured accuracy across 15,333 predictions, executed without running any tests), and Spec2Code AI (Model Context Protocol-based governed AI coding that propagates approved requirements and standards into GitHub Copilot, Cursor, Windsurf, Cline, and Claude). The product targets enterprise software, quality engineering, and business-analyst teams in regulated and high-stakes environments, and integrates with Jira, Azure DevOps, GitHub Actions, Jenkins, Salesforce, SAP, and Oracle front-ends.

The company has filed three patents pending covering its autonomous execution architecture, Predictive Quality methodology, and MCP-based AI coding governance, alongside trademark applications for Spec2TestAI and Spec2Code AI. As of June 2026 the platform reports cumulative customer-facing metrics of 262,290 defects prevented, $180.6M saved in the requirements phase, and $1.5B saved in the production phase, with a SOC 2-ready compliance posture and behind-firewall deployment option for enterprise buyers.

AgileAI Labs sells exclusively through an enterprise field-sales motion — quote-based, no public pricing, supported by dedicated sales and billing phone lines and email-driven demo requests — with named references including Zensar Technologies and QA Mentor, Inc. The company's only disclosed capital event is an $87,500 round in September 2023 led by MARL 5G Accelerator with Right Side Capital Management. Leadership comprises CEO Missy Trumpler, CFO Randy Barron, COO Peggy Knox, and founder Scott Aziz (Principal Advisor), supported by an advisory bench of QA-industry figures including LogiGear founder Hung Nguyen and BDD-in-Action author John Smart; headcount is reported at 1–10 employees.

Name

AgileAI Labs

Legal name

AgileAI Labs, Inc.

Website

https://agileailabs.com

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

1–10 employees

Short description

AgileAI Labs builds Spec2TestAI, an AI-native quality intelligence platform that prevents software defects, generates tests from natural language, and predicts outcomes across the enterprise SDLC. It sells via enterprise field sales to software and QA teams in regulated industries.

Ownership category

akta.pro rank

Product category

AI Test Automation Software / Quality Intelligence Platform

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Model Testing, Validation & Quality Assurance (HDAAABAH)

akta.pro secondary industries

Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies) (HDAEANAE), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

Keywords

• AI test automation
• Software quality intelligence
• Predictive test analytics
• No-code test automation
• Requirements defect prevention

Headquarters

HQ city

Manchester

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Spec2TestAI Platform Subscription: Enterprise software platform sold via subscription, likely per-seat or enterprise-level licensing. No public pricing disclosed; sales-driven quote-based engagement model. Revenue supported by a dedicated inside-sales team and billing contact ((617) 834-6995).

Pricing tiers

Go-to-market motion1 record

Distribution channels2 records

Marketing channels5 records

Core offering

AgileAI Labs develops and sells Spec2TestAI, an AI-native Quality Intelligence SaaS platform that governs software quality end-to-end across the enterprise SDLC. The platform prevents defects at the requirements stage via NLP analysis of 32 quality measures, generates ISTQB-aligned test cases with synthetic data, executes plain-English tests through AI vision and a ten-layer resilience chain (with self-healing and zero hard-coded selectors), forecasts pass/fail outcomes with ~96% accuracy without execution, and propagates approved requirements into AI coding assistants (GitHub Copilot, Cursor, Windsurf, Cline, Claude) over the Model Context Protocol (MCP). It is sold as an enterprise subscription with a sales-led, quote-based motion and delivered as either a behind-firewall agent or a cloud SaaS.

Product overview

AgileAI Labs offers Spec2TestAI, a unified Quality Intelligence platform for the enterprise SDLC built around the core philosophy that the cheapest defect is the one never written. Spec2TestAI is an integrated suite of five modules: Requirements Intelligence (32-measure analysis and one-click defect cleanup before code is written), Test Creation & Data (ISTQB mathematical test generation with GenRocket synthetic data), Test Automation (plain-English autonomous execution by AI vision with ten resilience layers), Predictive Quality (AI-powered pass/fail forecasting at ~96% accuracy without execution), and Spec2Code AI (governed AI coding via MCP into developer tools). All modules share a single traceable line from requirement to release, with synthetic test data and a complete AI decision audit trail throughout.

Differentiator

Problem solved

Functional benefit

Brands

• Spec2TestAI: Flagship Quality Intelligence platform that prevents, detects, and predicts quality across the enterprise SDLC — from requirements to release.
• Spec2Code AI
• Requirements Intelligence
• Test Creation & Data
• Test Automation
• Predictive Quality

Products and services

• Spec2TestAI Quality Intelligence Platform A unified AI-native Quality Intelligence platform that prevents, detects, and predicts software quality across the entire enterprise SDLC — from ambiguous requirements through release — connecting requirements to tests, synthetic data, execution, predictive quality, and governed AI coding under one traceable line with a full AI decision audit trail. Sold to enterprise buyers via annual subscription.
• Requirements Intelligence A requirements analysis product that evaluates user stories and acceptance criteria across 32 AI quality measures under INVEST, SMART, and REAL frameworks in approximately 60 seconds, flags defects across 12 categories, performs one-click automated defect cleanup, and surfaces conflicts and dependency risks through cross-backlog analysis. Targeted at enterprise BAs, PMs, and QA leaders preventing defects before code is written.
• Test Creation & Data An ISTQB-aligned test generation product that produces cause-effect graphs and decision tables from requirements, generating prioritized P1–P3 test cases with edge, negative, and security coverage, and integrates with GenRocket to provision design-driven, PII-free synthetic test data mapped per test case on demand. For enterprise QA teams seeking provable, repeatable coverage.
• Test Automation (Autonomous AI Execution) A no-code autonomous test execution product that reads plain-English test steps, sees the application page via AI computer vision, and executes actions without selectors or automation scripts; includes a ten-layer resilience chain, selector memory for deterministic replay, automated failure triage, self-healing that proposes one-click fixes without altering assertions, an AI Decision Inspector audit trail, Autonomous Explorer for unscripted path probing, and parallel fan-out cloud execution. For enterprise software teams testing complex front-ends (Salesforce, SAP, Oracle) with dynamic IDs and Shadow DOM.
• Predictive Quality A predictive analytics product that forecasts pass/fail outcomes of hundreds of test cases with reasons in under 60 seconds without execution, achieves ~96% prediction accuracy (measured across 15,333 predictions), estimates statement, branch, function, and line coverage without instrumentation, and verifies checked-in code implements the approved requirement. For QA leaders seeking early risk visibility and for non-technical leads needing requirements-to-code verification.
• Spec2Code AI A governed AI coding product that propagates approved requirements, coding standards, and security policy into developer coding assistants — GitHub Copilot, Cursor, Windsurf, Cline, and Claude — over the Model Context Protocol (MCP), producing BDD feature files and step definitions in Python, Java, JavaScript, and Ruby and closing the requirement-to-code-to-test governance loop. For enterprise engineering organizations standardizing and auditing AI-assisted code generation.

Quantifiable outcome

• ~90% defect reduction at a major financial regulator
• +9 more outcomes

Named customers2 records

Segments3 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration15 records

AI capability8 records

Feature8 records

Partnerships

One partnership is on record.

• GenRocketcoreTechnology or IntegrationGenRocket is a strategic technology partner powering synthetic test data generation within Spec2TestAI. In partnership with GenRocket, Spec2TestAI generates design-driven synthetic test data mapped to each test case — on demand, at scale, and 100% free of production PII. Data is modeled from the test case itself and generated in real time, eliminating the need to copy or mask production data. This partnership directly addresses the security and compliance mandates while removing the test data bottleneck (30-60% of tester time). GenRocket is referenced as a product partner on the main platform page and the Test Creation & Data product page.

Scale indicators8 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• Tricentis: Tricentis is a leading enterprise test automation platform (Tosca, qTest) acquired by Bain Capital. It competes head-on with Spec2TestAI in AI-augmented test creation, execution, and predictive analytics for regulated enterprises.
• Mabl: Mabl offers an AI-native, low-code test automation SaaS platform with self-healing tests and unified functional/api/performance testing. It is one of the closest direct competitors to AgileAI Labs' Spec2TestAI in autonomous, no-code test execution for enterprise teams.
• Functionize: Functionize is an AI-powered test automation platform using NLP and computer vision for autonomous test creation and execution. It competes directly with Spec2TestAI's plain-English, AI-vision-based test execution for enterprise applications.
• Applitools: Applitools provides Visual AI testing and autonomous test execution for web, mobile, and desktop apps. Its computer-vision-based verification and self-healing overlap directly with Spec2TestAI's ten-layer resilience chain and coordinate-vision fallback.
• Testim (by Tricentis): Testim is an AI-based test automation platform with self-healing locators and codeless authoring, now part of Tricentis. It overlaps with Spec2TestAI's AI-vision test automation, self-healing, and enterprise CI/CD integration.

Broad incumbents

• Sauce Labs: Sauce Labs provides a cloud-based testing platform for web/mobile with AI-assisted authoring and visual testing. It overlaps with Spec2TestAI's enterprise CI/CD-ready test execution at a larger incumbent scale.
• UiPath Test Suite: UiPath bundles test automation into its broader hyperautomation platform, competing with Spec2TestAI for enterprise QA budgets. Its scale and installed base make it a broad incumbent offering overlapping capabilities.
• Copado: Copado is a DevOps/test automation platform for Salesforce and enterprise clouds, competing with Spec2TestAI in CI/CD-integrated testing and Salesforce/SAP/Oracle front-end coverage. Broader portfolio positions it as a broad incumbent.
• Worksoft: Worksoft offers enterprise test automation for SAP, Oracle, and Workday with certify-style continuous testing. It directly competes with Spec2TestAI in autonomous enterprise-application testing and end-to-end process validation.

Emerging players

• Curiosity Software: Curiosity Software (Test Modeller, IQBot) provides ISTQB-aligned model-based test generation and impact analysis. It overlaps with Spec2TestAI's mathematical test generation, cause-effect graphing, and decision-table approach.

Market position

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/agileailabs

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds1 record

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about AgileAI Labs