As enterprises worldwide struggle to move artificial intelligence from experiment to operation, Astreya — an IT services firm rooted in Hyderabad — has begun embedding production-ready AI agents directly into the platforms where enterprise work already lives: ServiceNow and Databricks. The company's release of 21 specialized agents, paired with free assessment tools and strong showings at major AI competitions, reflects a broader human challenge of our technological moment: not whether AI can work, but whether organizations can build the bridges to let it work at scale. In offering both the to
Astreya Launches Production AI Agents on ServiceNow, Databricks to Accelerate Enterprise Automation
Most enterprises are still experimenting with AI in isolated pilots.
Mark
So Astreya is essentially selling pre-built AI agents that plug into ServiceNow and Databricks. What's the actual problem they're solving?
Mimi
Most IT teams spend enormous time on repetitive work—reading through ticket attachments, manually analyzing incident patterns, routing problems to the right person. These agents automate that. TicketLens, for instance, can look at an incident and tell you what caused it and how to fix it, instead of an engineer spending hours investigating.
Luke
But how much of that is genuinely new? ServiceNow already has AI capabilities built in. What's Astreya's actual differentiation here?
Mimi
They're packaging specialized agents that work together—21 agents across four solutions. And they're offering them free for three to six months, which suggests they're betting on adoption and feedback to prove value. The real play seems to be getting embedded early.
Mark
What about the hackathon wins? Does that tell us anything about where the company is headed?
Mimi
Their team built a financial planning system with 20 AI agents that can access real-time data and run market simulations. It ranked in the top one percent globally. That suggests they're thinking bigger than just IT operations—they're exploring how agents can work together across different domains.
Luke
Top one percent of 9,100 entries is still just 91 teams. And a hackathon concept is very different from a production system that enterprises will actually rely on. We don't know yet if that financial planning idea will ever ship or scale.
Mimi
Fair. But the fact that they're competing at that level, and that they've already shipped four production solutions on ServiceNow, suggests they have real engineering capability. The Databricks marketplace entry is another signal—they're not just talking about AI, they're building it.
Mark
The assessment tools—RapidPulse and the readiness framework—those seem like they could be as important as the agents themselves.
Mimi
Exactly. Most enterprises don't know where to start with AI automation. These tools help them identify blind spots and prioritize investments. It's a way to move companies from "we're experimenting" to "here's our roadmap."
Luke
But those assessments are free or low-cost. How does Astreya make money if they're giving away agents for six months and offering free assessments?
Mimi
The free trial period is the hook. Once companies see the value and integrate the agents into their workflows, they'll likely pay for ongoing support, customization, and the full suite of services. The assessment tools identify where they need help most—that becomes the consulting engagement.
Mark
So the real business is in helping enterprises actually implement and scale these solutions, not just the agents themselves.
Mimi
Right. The agents are the entry point. The real value is in the deployment, the integration, the change management—all the things that make AI actually stick in an organization.
Il Polso
- Most enterprises are trapped in a costly limbo — running AI experiments that never connect to the systems where real work happens, leaving efficiency gains unrealized and teams overburdened.
- Astreya released four AI solutions powered by 21 specialized agents on the ServiceNow Store, including TicketLens for instant incident analysis and Astraix for proactive IT support — offered free for the next three to six months to accelerate adoption.
- The company simultaneously launched its first Databricks Marketplace solution, DTSi, applying 15 statistical techniques through five Gemini-powered agents to turn raw datasets into actionable intelligence.
- At Google Cloud's Agentic AI Day Hackathon — drawing over 57,000 participants — all four Astreya teams ranked in the top 1%, with the 'Soup Developers' reaching the top 15 finalists for a 20-agent financial planning automation concept.
- To help organizations find their footing, Astreya launched a free five-minute RapidPulse self-assessment and a broader AI Automation Readiness framework, giving enterprises a structured path from isolated pilots to scaled, integrated AI.
As enterprises worldwide struggle to move artificial intelligence from experiment to operation, Astreya — an IT services firm rooted in Hyderabad — has begun embedding production-ready AI agents directly into the platforms where enterprise work already lives: ServiceNow and Databricks. The company's release of 21 specialized agents, paired with free assessment tools and strong showings at major AI competitions, reflects a broader human challenge of our technological moment: not whether AI can work, but whether organizations can build the bridges to let it work at scale. In offering both the tools and the maps to use them, Astreya is wagering that the gap between pilot and practice is where its value lies.
Astreya, a Hyderabad-based IT services firm, has moved decisively from building AI experiments to distributing production-ready solutions — releasing agents across two major enterprise marketplaces, ServiceNow and Databricks, designed to automate the routine work that consumes IT and data teams. The move signals a broader industry inflection: the era of isolated AI pilots is giving way to packaged agents that plug directly into the platforms enterprises already depend on.
On the ServiceNow Store, Astreya published four solutions powered by 21 specialized agents. TicketLens condenses hours of incident investigation into single-click root-cause summaries. Astraix acts as a proactive assistant — analyzing images of technical problems, surfacing relevant knowledge articles, and routing tickets to the right team. Two additional tools handle attachment summarization and automated knowledge base creation. All four are available free for the next three to six months, a deliberate bet that early adoption will generate the feedback needed to prove measurable value.
The company's ambitions extend beyond individual tools. Its AI Automation Readiness Assessment gives large organizations a framework for identifying where automation can deliver the most impact, while RapidPulse — a free five-minute self-assessment — scores companies across strategy, infrastructure, processes, and people. The goal is to help enterprises escape the "isolated pilot" trap and move toward AI that is genuinely integrated into how work gets done.
Astreya's competitive edge was on display at two major Indian hackathons. At Google Cloud's Agentic AI Day — with more than 57,000 participants — all four Astreya teams ranked in the top 700. The company's 'Soup Developers' reached the top 15 finalists with a concept for financial planning automation: a modular ecosystem of 20 AI agents handling budgeting, forecasting, market research, and investment strategy, connected through the Model Context Protocol for real-time data access.
Expanding into data intelligence, Astreya launched DTSi on the Databricks Marketplace — five Gemini-powered agents applying 15 analytical techniques, from anomaly detection to predictive modeling, to transform unstructured data into actionable insight. The company also earned recognition as a validated Databricks Data Partner, reinforcing a dual-marketplace strategy built on a simple philosophy: lower the barrier to AI adoption by meeting enterprises inside the tools they already use.
Leading all of this is Astreya's Enterprise AI Innovation Center in Hyderabad, where data engineers, AI scientists, and automation architects prototype and harden solutions against real-world enterprise challenges. CEO Romil Bahl has framed the company's mission plainly: most organizations are leaving efficiency gains on the table because their AI efforts never connect to actual business systems. By pairing agent-native applications with structured assessments and deployment playbooks, Astreya argues it can help clients move past proof-of-concept and toward AI that genuinely scales.
Astreya, a Hyderabad-based IT services firm, has begun distributing artificial intelligence agents across major enterprise software marketplaces—ServiceNow and Databricks—designed to automate routine work in IT operations and data analysis. The move reflects a broader industry shift: companies are moving beyond experimental AI pilots toward packaged, production-ready solutions that plug directly into the systems where work actually happens.
The company released four AI solutions on the ServiceNow Store, powered by 21 specialized agents. TicketLens, the newest addition, analyzes incident tickets to surface root causes and recommend fixes, condensing hours of manual investigation into single-click summaries. Astraix functions as a proactive assistant that can examine images of technical problems, recommend relevant knowledge articles, and route incidents to the right team. The Attachment Summarizer extracts key information from files attached to support tickets, saving teams from manually reading through documents. A fourth tool, the Intelligent Knowledge Builder & Optimizer, automates the creation and quality control of knowledge bases. For the next three to six months, Astreya is offering these solutions free to customers, betting that early adoption will generate feedback and demonstrate measurable efficiency gains.
The company's ambitions extend beyond individual tools. It launched the AI Automation Readiness, Maturity & Coverage Assessment, a framework intended to help large organizations identify where automation could deliver the most value. Accompanying this is RapidPulse, a free five-minute self-assessment that scores companies across five dimensions: strategy, tools and platforms, data and infrastructure, processes, and people. The goal is to move enterprises past the "isolated pilot" phase—where AI experiments remain disconnected from actual business systems—toward scaled, integrated automation.
Astreya's competitive positioning sharpened at two major hackathons in India. At Google Cloud's Agentic AI Day Hackathon, which drew over 9,100 entries and 57,000 participants, all four of Astreya's teams ranked in the top 700. The company's "Soup Developers" team advanced to the top 15 finalists with a concept for financial planning automation: a modular ecosystem of 20 specialized AI agents designed to handle budgeting, cash-flow forecasting, market research, and investment strategy. The team's approach relied on the Model Context Protocol, a technical standard that allows agents to access real-time financial data and simulate complex market scenarios. Astreya also served as a Prize Partner at A2HACKFEST 2K25 in Bengaluru, signaling its commitment to nurturing AI talent in India.
Expanding beyond IT operations, Astreya launched its first solution on the Databricks Marketplace: Data Trust and Stats Intelligence (DTSi), powered by five AI agents built on Google's Gemini models. The tool applies 15 analytical and statistical techniques—anomaly detection, correlation mapping, predictive modeling, hypothesis testing—to transform unstructured datasets into actionable insights. The company also earned recognition as a validated Databricks Data Partner. This dual-marketplace strategy reflects a deliberate philosophy: make AI adoption easier by embedding agents directly into platforms enterprises already use.
The company's Enterprise AI Innovation Center in Hyderabad serves as the research and development hub where these solutions are prototyped and hardened for production. The center brings together data engineers, AI scientists, and automation architects to validate ideas against real-world enterprise challenges. It also functions as a co-innovation space where clients can assess their own AI readiness and design adoption roadmaps. According to Jothiganesh Nagarajan, Astreya's chief operating officer, the center compresses the cycle from prototype to deployment, allowing clients to see measurable outcomes faster.
Romil Bahl, the company's CEO, framed the initiative as a response to a widespread problem: most enterprises remain stuck in experimental phases, running isolated AI pilots that never scale or connect to the systems driving actual work. That disconnection leaves efficiency gains on the table and teams carrying unnecessary manual burden. By pairing agent-native applications with structured assessments and deployment playbooks, Astreya argues, organizations can embed AI directly into their operations and move toward leaner, more resilient workflows. The company's next focus is on multi-agent design, platform-native integration, and specialized engineering talent—the infrastructure needed to help clients move beyond proofs of concept toward AI solutions that genuinely scale.
Citazioni salienti
Most enterprises are still experimenting with AI in isolated pilots. The problem is that those efforts rarely scale. They stay in the lab, disconnected from the systems that drive real work.— Romil Bahl, CEO, Astreya
Our Hyderabad Innovation Center is a springboard for enterprise AI, where we validate agent-native ideas, run assessments to surface real value, and then harden solutions for production.— Jothiganesh Nagarajan, COO, Astreya
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