Infinite Uptime is an industrial IoT company based in Pune, India and California that uses AI and machine learning to remotely diagnose and predict machinery problems in manufacturing plants.

This Startup Deep Dive explains what Infinite Uptime does, how it makes money, who backs it, how it compares with rivals and what could go wrong, using publicly available information. It is educational and not investment advice. Last updated: October 2026.

Infinite Uptime in Brief

• What it is: Infinite Uptime is an Indian Industrial IoT and predictive maintenance company based in Pune.
• Who it serves: businesses, institutions, consumers, learners and public-sector buyers.
• Provides an IoT platform that diagnoses and predicts machinery faults remotely for predictive maintenance.
• Offers Diagnostics as a Service for 24/7 fault monitoring and a Digital Reliability Service for prescriptive interventions.
• Serves about 800 plants in nearly 30 countries in cement, steel, metals and mining, FMCG, chemicals, oil and gas, power, pharma, tyres and automotive.
• Funding: About $65 million (other trackers show $59 million to $64 million).

Infinite Uptime Quick Facts

Figures marked “reported” come from published reports and may differ between sources; “Not disclosed” means no reliable public figure was found.

What Is Infinite Uptime?

Infinite Uptime operates in the Industrial IoT and predictive maintenance space in India. Understanding a company like this starts with three questions: who is the customer, what painful problem is being solved, and why the solution is better than the alternatives. The sections below apply that lens to Infinite Uptime.

• Provides an IoT platform that diagnoses and predicts machinery faults remotely for predictive maintenance.
• Offers Diagnostics as a Service for 24/7 fault monitoring and a Digital Reliability Service for prescriptive interventions.
• Serves about 800 plants in nearly 30 countries in cement, steel, metals and mining, FMCG, chemicals, oil and gas, power, pharma, tyres and automotive.

The Origin Story of Infinite Uptime

Every company starts from a noticed gap and a team willing to commit to closing it. Strong origin stories are specific: a clear problem, a founding team with relevant skills, and an early product that real customers could test. Founder-market fit, meaning the team’s lived experience or technical depth in the domain, tends to predict how fast a young company learns.

• Founders: Raunak Bhinge.
• Founded by Raunak Bhinge; one source also names Yung Chih Chen as co-founder.
• Founding year differs by source (2015, 2016 or 2017).
• Headquartered in Pune, India with a California presence.

Key Milestones and Challenges

No startup grows in a straight line. Early years usually involve slow adoption, product rewrites, hiring mistakes and funding gaps. In the Industrial IoT and predictive maintenance sector the common turning points are a first paying customer, a regulatory approval, a successful product demonstration or a funding round that lets the team invest ahead of demand. How a team responds to setbacks says more about resilience than any single headline.

• December 2020: Series B of about $5.2 million led by Ventureast (one tracker).
• May 2023: $18.85 million Series B3 led by Tiger Global.
• FY24: revenue more than doubled to Rs 54.74 crore.
• March 2025: $35 million Series C led by Avataar Ventures with StepStone Group and LGVP.
• FY25: revenue about Rs 82.8 crore, up about 50%.

Infinite Uptime Funding and Investors

Funding history shows how much outside confidence a company has attracted and how long it can operate before needing more capital. Figures below are reported and may differ between sources; valuation figures are estimates unless the company has confirmed them.

• Dec 2020: Series B, about $5.2 million, led by Ventureast.
• May 2023: Series B3, $18.85 million, led by Tiger Global.
• Mar 2025: Series C, $35 million, led by Avataar Ventures with StepStone Group, LGVP, Tiger Global and GSR Ventures.

How Does Infinite Uptime Make Money? (Business Model)

A business model describes who pays, how often and how much it costs to serve them. Strong models show repeat usage, improving margins with scale and acquisition channels that do not depend only on paid spend. Weak models show one-off sales, rising costs and growth that stops when spending stops. For companies selling to businesses, institutions, consumers, learners and public-sector buyers, sales cycles and contract size matter as much as headline growth.

• Subscription services for monitoring and prescriptive reliability on industrial machinery.
• Sells to process and heavy manufacturing plants.
• Hardware sensors plus software platform.

The Numbers: Infinite Uptime Financials

Financial figures show whether growth is turning into a self-sustaining business. Small and private companies often disclose little, so any number below is included only if it was found in public reporting.

• FY23: revenue Rs 24.71 crore, net loss Rs 13.5 crore.
• FY24: revenue Rs 54.74 crore, net loss Rs 8.4 crore.
• FY25: revenue about Rs 82.8 crore, net loss about Rs 21.5 crore, total expenses about Rs 104.3 crore (third-party estimates).

Market Opportunity for Infinite Uptime

Market size is easy to exaggerate, so a useful approach separates the total market from the portion a company can realistically reach with its current product and distribution. The main forces behind demand in this sector are rising digital adoption, cloud and mobile penetration, growing enterprise technology spending, government digitisation programmes and a deep pool of engineering talent. Each of these widens the opportunity, but capital efficiency and execution decide who captures it.

• Predictive maintenance for manufacturing, a market where unplanned downtime is costly.
• Expanding in the US and other international markets.

Technology and Product at Infinite Uptime

Technology is rarely the whole moat, but it drives speed, cost and customer experience. A practical way to assess it is to separate the capability the company controls from the commodity infrastructure it rents. In this sector the important factors are product quality, data and integration depth, security, scalability and the speed of shipping improvements.

• IoT sensors with AI and machine learning for remote diagnosis and prediction.
• Claims 74,274 downtime hours saved for customers (company claim, third-party profile).

Team and Culture at Infinite Uptime

Teams are the most important and least measurable asset of a young company. Look at how complementary the founders’ skills are, how deep the second layer of leadership is, and how the company hires and retains specialists. Culture shows up in small repeated behaviours: how quickly bad news travels upward and whether commitments to customers are kept.

• Raunak Bhinge is founder and CEO.
• About 395 employees per a data profile.

Infinite Uptime Competitors: Competitive Landscape

A fair competitive analysis names direct rivals, adjacent players who could move into the space, and the customer’s default alternative. Durable advantages include proprietary data or technology, licences and approvals, brand trust, switching costs and cost leadership.

Risks and Challenges for Infinite Uptime

• Net loss widened in FY25 despite revenue growth.
• Competition from well-funded global predictive maintenance vendors.
• Heavy dependence on cyclical heavy industry customers.
• Competition: low barriers to entry and well-funded rivals can compress pricing and slow growth.
• Funding risk: technology businesses often burn cash before reaching profit and depend on investor appetite.

Risk is not a reason to avoid a company; it is a reason to price it correctly and to monitor the right indicators over time. Regulation in this sector is shaped by data protection rules under the Digital Personal Data Protection Act, sector regulators, consumer protection law and IT rules.

Infinite Uptime Growth Outlook: What to Watch

• Fresh funds to advance the IoT platform and expand in the US and other markets.
• Revenue is growing quickly, with losses the main watch item.
• Key indicators: recurring revenue, customer retention, gross margin, customer acquisition cost and runway.
• Funding position: Whether Infinite Uptime can reach its next milestone before needing new capital.
• Regulation: Changes from data protection rules under the Digital Personal Data Protection Act, sector regulators, consumer protection law and IT rules.

Industry Context: Where Infinite Uptime Fits

India's technology startup ecosystem is one of the largest in the world, supported by cheap data, a large base of smartphone users, digital public infrastructure and a deep engineering talent pool. Companies now build for education, software, mobility, logistics, agriculture, defence, media and more, selling both to Indian customers and abroad.

Durable technology companies usually combine a clear customer problem with repeatable distribution and disciplined unit economics. Growth funded only by spending tends to fade, while products that customers keep using and paying for build compounding advantages.

For readers new to this field, a useful habit is to separate announcements from evidence. A plan, a partnership or a funding headline describes intent, while a delivered product, a paying customer or an audited financial statement describes results. Comparing the two over time shows how reliably a company turns promises into outcomes.

Bull Case and Bear Case for Infinite Uptime

An investment thesis is a short, testable statement of why a company could become far more valuable, together with what evidence would prove it wrong. The points below are general to this sector and are not forecasts for Infinite Uptime.

Bull case

• A large and growing base of digital users and businesses expands the addressable market.
• Recurring revenue and strong retention can compound growth.
• Selling into global markets widens the opportunity beyond India.

Bear case

• Heavy competition can compress pricing and margins.
• Dependence on external funding can force painful cost cuts.
• Regulation or platform changes can disrupt a product quickly.

Lessons Founders and Investors Can Take from Infinite Uptime

Studying a company in the Industrial IoT and predictive maintenance space offers lessons that go beyond any single firm. The points below are general lessons for the sector and are not claims about Infinite Uptime.

• Solving a clear, frequent customer problem matters more than adding features.
• Retention and repeat usage are better health signals than sign-ups.
• Disciplined spending extends runway and keeps options open when funding tightens.
• Distribution, not just product quality, decides who wins in crowded markets.
• Building trust through data protection and reliability is part of the product.

How to Evaluate Infinite Uptime as a Startup

• Customer clarity: Can Infinite Uptime name its customer and the problem it solves in one sentence?
• Evidence of demand: Look for repeat customers, signed contracts or measurable usage rather than announcements alone.
• Economics: Check whether margins improve as volume grows.
• Execution: Compare announced timelines with what has actually been delivered.
• Funding runway: Estimate how long current capital lasts at the present spending rate.
• Regulatory standing: Confirm required approvals are in place.
• Customer concentration: Check whether a few customers account for most of the revenue.
• Management depth: Look for experienced leaders beyond the founders and a stable core team.

The Takeaway

Infinite Uptime is part of India’s growing Industrial IoT and predictive maintenance ecosystem. The useful lesson from studying it is the discipline of asking structured questions about customers, economics, advantage and resilience. Companies that answer them well, repeatedly and under pressure are the ones that endure. Readers should treat any single report, ranking or funding headline as one input among many, and should re-check key facts against recent company announcements. Because public information on young companies is often limited, patience in verifying claims is part of good analysis. Public sources can also describe the same company in different ways, so it is worth checking dates, definitions and whether a figure refers to revenue, total income or transaction value, and whether it covers one entity or a wider group, before drawing conclusions. Small differences in rounding, currency conversion or reporting periods can also change how a figure reads. Comparing the same figure across several recent reports helps show whether it is stable or has changed over time. This article is educational and is not investment advice.

• Clear customers and repeat demand matter more than announcements.
• Regulation and capital needs shape how fast a startup in this sector can grow.
• Track a few leading indicators over time rather than one headline metric.

Infinite Uptime FAQs: Frequently Asked Questions

What is Infinite Uptime?

Infinite Uptime is an industrial IoT company based in Pune, India and California that uses AI and machine learning to remotely diagnose and predict machinery problems in manufacturing plants. It is profiled in the Startup Deep Dive series, which explains business model, funding, competitors and risks.

Who founded Infinite Uptime?

Infinite Uptime was founded by Raunak Bhinge, and the company reports a founding year of 2015 (sources give 2015 to 2017).

How much funding has Infinite Uptime raised?

About $65 million (other trackers show $59 million to $64 million). Funding figures are reported and may differ between sources, so readers should check the latest company announcements.

How does Infinite Uptime make money?

Infinite Uptime earns revenue from its Industrial IoT and predictive maintenance products and services sold to businesses, institutions, consumers, learners and public-sector buyers. The exact revenue mix is described in the business model section and is not fully disclosed publicly.

Who are the competitors of Infinite Uptime?

Reported rivals include UptimeAI, Sight Machine, Prospection, SparkCognition. See the competitor comparison above for how they differ.

What are the main risks for Infinite Uptime?

Main risks include competition: low barriers to entry and well-funded rivals can compress pricing and slow growth, funding and capital needs, competition and regulation by data protection rules under the Digital Personal Data Protection Act, sector regulators, consumer protection law and IT rules. This is educational content, not investment advice.

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Source

Source: Publicly available data, published reports, industry research, and other credible sources.