Hexaware Technologies has announced a strategic partnership with AI company Factory to deliver agent-native software development to global enterprise clients. By embedding autonomous "Droids" across the software development lifecycle, the collaboration aims to automate code reviews, bug fixes, and system maintenance, reducing software production costs while accelerating engineering velocity.
ISELIN, N.J. — Global IT consulting and digital solutions provider Hexaware Technologies has officially announced a new strategic partnership with Factory, an enterprise automation platform specialized in autonomous AI software systems. Announced on July 16, 2026, the collaboration aims to bring advanced agent-native development capabilities to Hexaware’s global enterprise clients. By integrating autonomous software agents—known structurally as "Droids"—into client software repositories, the two companies plan to automate routine, high-friction engineering tasks such as writing code reviews, updating technical documentation, executing quality assurance passes, and managing legacy code migrations.
Scaling Agent-Native Development Across Enterprise IT
According to the official corporate announcement published via Hexaware’s institutional media channels, the partnership merges Hexaware's deep systems integration domain knowledge with Factory’s specialized AI engine infrastructure. Unlike traditional copilot models that function purely as autocomplete suggestions for individual programmers, an agent-native framework relies on fully autonomous digital agents that independently pick up technical backlog tickets, refactor codebases, and maintain application logic 24/7.
The integration will deploy Factory’s air-gapped platform architecture across Hexaware's managed portfolio, providing enterprise-grade security controls. This framework guarantees strict zero-trust data protection, meaning data and proprietary codebases remain completely isolated within the enterprise perimeters without any telemetry or training data escaping to external servers. The systems are designed to operate purely via internal Large Language Model (LLM) endpoints, allowing clients in heavily regulated industries like banking, aerospace, and healthcare to utilize autonomous agents securely.
Synergies with Existing Digital Architecture
The introduction of Factory's agent-native tools aligns directly with Hexaware's ongoing strategic expansion into Agentic AI platforms for corporate software engineering. It builds directly alongside Hexaware's custom tools, such as the Hexaware RapidX™ Platform, which specializes in utilizing a "Cognitive Mesh" to reverse-engineer aging legacy systems and automatically generate system specifications.
By integrating Factory’s specialized platform tools, Hexaware's technical teams can deploy localized optimization dashboards. These tools review over 100 distinctive "Agent Readiness" health indicators across multi-layered software repositories, checking continuous integration (CI) environments, documentation accuracy, and dependency hygiene before autonomous systems deploy software changes. The dual approach provides technology officers with micro-level control over exactly how and where autonomous code generation alters operational software.
Impact on IT Budgets and Enterprise Efficiency
For enterprise Chief Information Officers (CIOs), operational managers, and institutional investors tracking corporate IT efficiency, the transition to an agent-native software approach introduces immediate fiscal and operational impacts:
Consumption-Based Cost Control: The integrated system features centralized organizational configuration panels that allow IT administrators to establish explicit, real-time token budgets per team and per project. This eliminates the risk of runaway software agents accumulating unforeseen operational compute expenses.
Minimized Mean Time to Resolution (MTTR): In active development environments, the system automates immediate root-cause analysis for code regressions, shifting engineering workforces from repetitive bug tracking to higher-value feature innovation.
Workforce Augmentation: By employing autonomous AI agents to continuously handle front-line ticket triaging and code maintenance, enterprise clients can dramatically scale their engineering output velocity without requiring linear increases in human developer headcount.
Official Sources Section
Operational timelines, architecture details, and statements regarding this enterprise rollout are based entirely on official joint press announcements and product design documents validated by the communications departments of Hexaware Technologies Services and Factory AI.
Executive Statements
"According to officials involved in the launch, the collaboration transitions enterprise programming from simple prompt assistance to completely autonomous operations. Organizers stated that by combining our localized systems expertise with enterprise-grade data isolation protocols, businesses can securely lower token consumption while achieving much higher deployment velocities."
Why It Matters
The shift to agent-native software engineering marks a significant change in how global companies build and maintain proprietary software systems. By moving past simple conversational code assistants to fully integrated, autonomous agents, businesses can continuously monitor and update complex enterprise applications without manual human oversight. In an economic environment where software maintenance costs consume large portions of corporate IT budgets, automating these baseline tasks allows enterprises to reduce technical debt, protect private data, and accelerate digital transformation at scale.
Key Facts at a Glance
Partnership Scope: Strategic global collaboration between Hexaware Technologies and automation developer Factory to roll out agent-native software engineering.
Autonomous Droids: Leverages independent AI agents to automate code review, backlog ticket resolution, QA, and documentation tasks without continuous human input.
Zero-Trust Security: Features fully air-gapped deployment configurations that process code via local LLM endpoints with zero external telemetry leakage.
Budget Oversight: Includes built-in OpenTelemetry logging tools alongside strict token spend controls to prevent unexpected operational bills.
System Readiness: Uses an analytical suite tracking over 100 unique signals to evaluate codebase health before allowing autonomous code changes.
FAQ Section
What makes agent-native development different from standard AI coding tools? Standard tools function primarily as context-aware text autocompletes that require developers to manually verify and paste code snippets line by line. An agent-native environment uses fully autonomous software agents that can independently analyze an entire repository, write patches, execute tests, and submit full pull requests without manual intervention.
How does this partnership ensure enterprise code security? The platform is designed to be fully air-gapped on the client's private infrastructure. It functions independently of external networks and requires only an internal LLM endpoint, preventing sensitive proprietary code or business logic from leaving the company's secure boundary.
Which business industries will benefit most from this collaboration? While applicable across all software domains, the platform features specialized, highly compliant compliance configurations built specifically for regulated fields like financial services, national defense, healthcare data tracking, and telecommunications.
Can companies monitor the exact financial and computing costs of these AI agents? Yes. The platform provides real-time tracking dashboards that break down token consumption by model, project, or individual developer, enabling managers to enforce strict budget cutoffs and prevent unexpected operational expenses.
Source: Hexaware Technologies Investor Relations and Media Center, Factory AI Press Release Portal.
