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World of Software > News > Exclusive: Startup Lyzr.ai launches app builder aimed at moving agents to production in volume – News
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Exclusive: Startup Lyzr.ai launches app builder aimed at moving agents to production in volume – News

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Last updated: 2026/02/06 at 2:54 PM
News Room Published 6 February 2026
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Exclusive: Startup Lyzr.ai launches app builder aimed at moving agents to production in volume –  News
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Lyzr Inc., a startup that builds tools for deploying artificial intelligence agents in enterprises, will launch a new agentic application builder next week that it says lets nontechnical users create multi-agent systems to automate complex business processes.

The product, called Architect, is positioned as an alternative to platforms such as Microsoft Corp.’s Copilot and Salesforce Inc.’s Agentforce, which Lyzr says often struggle to move beyond early prototypes and into production.

“We are an agent infrastructure platform focused on production,” said Lyzr co-founder and Chief Executive Officer Siva Surendira. “There are organizations building their no-code platforms on Lyzr.”

The Jersey City, New Jersey-based company, with development in Bangalore, India, describes itself as an “agent infrastructure” provider rather than a no-code development environment. Surendira said Lyzr’s focus is on building and orchestrating production-grade agents, with tools for governance, evaluation, and simulation.

The company has coined the term “organizational general intelligence” to describe its vision of a central intelligence layer that is continuously enriched by agents running in production.

Lyzr says it has gained traction among large consulting firms and enterprise customers in regulated industries. Surendira cited deployments at Accenture Plc and KPMG LLP, including a system built by Accenture that uses more than 200 agents to collect and analyze data on startups worldwide.

Agents from blueprints

It tracks roughly 300,000 startups globally and generates detailed profiles and evaluations, Surendira said. Agents gather data, assist with reasoning and analysis, and automate tasks such as writing investment memos. Accenture was an investor in Lyzr’s recent $8 million funding round, bringing the company’s total funding to $10.5 million.

The company has also invested in what it calls Agentic Transformation Consultants, a services layer designed to help customers map business processes to agent-based automation. Surendira said the consultants work directly with customers to build early agent prototypes quickly, often within a day. “We see that 90% of our customers go live because of our ATCs,” he said.

Architect is intended to reduce reliance on consulting by embedding Lyzr’s blueprint library and automation capabilities directly into a prompt-driven experience. Surendira said the tool can review more than 1,000 prebuilt “production-grade blueprints,” select an appropriate starting point, and generate a multi-agent workflow along with an end-user interface.

In one example, he described an insurance underwriter using Architect to automatically create a multi-agent system that performs analysis for underwriting decisions. “It automatically reviews all the 1,000-plus blueprints we have, chooses the right blueprint and builds an app for them,” he said.

A key differentiator is Lyzr’s simulation engine, which runs up to 10,000 automated tests against an agent to identify failure modes and improve reliability, Surendira said. “For example, in a customer support situation, the simulation engine automatically detects the various personas who will interact with an agent and what are the various scenarios that the agent might face,” he said.

Aggressive expansion

Without being specific, Surendira said the company has grown its revenue tenfold since the October funding while doubling its headcount to 120 people. He said he plans to grow the company to more than 1,000 people within a year. Lyzr expects the business to break even in April and is in talks to raise its next funding round.

While major vendors have promoted agent-building platforms as the next step beyond generative AI chat tools, Surendira argued that many enterprises are now realizing they need production-focused infrastructure rather than experimentation tools.

“With Lyzr, you get access to multiple models, and users can also call agents that are deployed centrally for the organization,” he said. “You can call an HR to send you a pay slip and a marketing agent to generate a blog post. Lyzr becomes an interface for not only multiple models, but also agents that the organization can publish to employees.”

Image: News/Reve

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