Startup Deep Dive : Manthan Systems — the Bengaluru retail-analytics firm that became Algonomy, then sold to ADA

Manthan’s best-ever reported profit — ₹72.1 crore (about $7.5 million at $1 ≈ ₹96.0) in the year to March 2020 — did not come from selling software. It came from selling a business. As Inc42 reported from the company’s filings, ₹74.9 crore of that year’s gain was a one-off from divesting its research-analytics unit; strip it out and the retail-analytics core Manthan had spent 16 years building was still running at a loss.

That single number captures the paradox of one of India’s earliest data-analytics product companies. Manthan raised money from Temasek and Norwest, put its software into more than 170 retailers across 20 countries, and was talked about as an IPO candidate. It never listed. Instead it was absorbed twice — first merging into a company called Algonomy in January 2021, and then, in July 2026, Algonomy itself was bought by Singapore’s ADA. This is the story of how a Bengaluru product company got the idea right, the timing early, and the exit indirect.

Quick facts

What Manthan does

Manthan builds analytics and decision-making software for companies that sell to shoppers. Its products help retailers and consumer-goods brands answer everyday commercial questions with data — what to stock, how to price, which promotion to run, which customer to target — rather than leaving those calls to instinct or to a central reporting team. The company describes its focus as the retail and CPG industry, and by the time of its 2015 growth round it counted, as Inc42 reported, more than 170 clients across 20 countries. Over the years its named users in the wider group’s marketing materials have included global names such as Burberry, eBay, KFC, Honeywell and Tiffany & Co, per the TechTarget report on the later merger.

• Buyer: retail chains, consumer brands, quick-service restaurants and convenience stores (TechTarget, January 2021).
• Product shape: packaged analytics applications, increasingly delivered as cloud/SaaS, spanning customer analytics, merchandising, marketing and supply chain.
• Geography: a majority of revenue has come from outside India — chiefly the United States (Inc42, FY20 filing).
• Positioning: a specialist alternative to broad CRM and experience suites such as Salesforce and Adobe (TechTarget, January 2021).

The origin: a folder named Manthan

The company began as an idea file. After selling an earlier venture, Atul Jalan was living in London and weighing what to build next when, as YourStory recounted, he opened a folder on his computer and named it “Manthan” — a word that connotes churning, or deep introspection — to log his ideas. His conviction was blunt for its time: that data science and analytics would reshape how businesses were run. Manthan was his fourth venture, following MicroTrack, Cybertrek and Net Kraft; CRISIL’s filing notes he began in security-solution software and had more than 25 years in IT products before this.

The founding insight was about who gets to use data. Instead of a central analytics team controlling the numbers, Manthan’s early pitch was a tool that let a store manager see what was selling in their own catchment and act on it. That idea, as YourStory reported, turned into a partnership with India’s Future Group, with Manthan powering in-store analytics across roughly a thousand of its stores. It was a product bet, not a services bet — hard to build, slow to monetise, and years ahead of the market’s willingness to pay for it.

The struggle years

Being early is expensive. For most of the 2010s Manthan carried the classic burden of an Indian product company selling globally: heavy spend on engineers and salespeople in dollars, revenue that grew but never fast enough to cover it, and losses funded by patient venture capital. The pattern is visible in the audited record. In the year to March 2015 the company reported a net loss of ₹79.48 crore on revenue from operations of ₹145.14 crore, according to CRISIL’s rating rationale. The following year the loss narrowed to ₹22.6 crore, but revenue actually slipped to ₹141.37 crore — growth had stalled while the company cut its way toward viability.

The financing side wobbled too. CRISIL suspended its rating in October 2016 because Manthan had not shared the information needed for a review, then revoked the suspension and assigned a modest “CRISIL B+/Stable” grade in February 2017 — a rating it explained by pointing to “weak operating efficiency” from “operating losses over the past two years, through fiscal 2016,” and large working-capital needs driven by high debtors. By March 2018 CRISIL had again flagged that it was “yet to receive adequate information” to complete a review. This was not the smooth arc of a celebrated startup; it was a company grinding through a long, cash-hungry middle, kept alive by repeated equity infusions from its investors.

The turning point: the RichRelevance merger

The decisive event was not an IPO or a blockbuster funding round. It was a merger of equals-in-name with a struggling American peer. On 19 January 2021, Manthan and San Francisco-based RichRelevance — a personalization specialist founded in 2006 — completed a merger and rebranded the combined company as Algonomy. Atul Jalan became CEO of the merged entity and RichRelevance’s Sarath Jarugula became chief product officer, as reported by TechTarget and Analytics India Magazine.

The numbers on each side of that line are telling. As a standalone company in the year before the deal, Manthan’s revenue from operations was ₹214.6 crore in FY19 and ₹231 crore in FY20 (Inc42). After the merger, the two companies together claimed about 400 customers and roughly 600 employees (TechTarget), and pitched Algonomy as a real-time, AI-driven alternative to Salesforce and Adobe. The merger converted two sub-scale point players into one company large enough to matter — and it reset the clock on Manthan’s exit. Jalan told Business Standard in 2021 that he intended to take Algonomy public by 2023. That listing never happened.

The money behind it

Manthan was venture-funded for its entire independent life, drawing repeatedly on a small set of committed backers rather than a crowd of them.

• Series A — May 2007: initial institutional round from IDG Ventures India (Inc42).
• Series B — November 2009: $15 million (~₹144 crore) from FIL Capital Advisors (Fidelity), IDG Ventures India and DFJ ePlanet Ventures (Inc42).
• Series C — February 2012: $15 million (~₹144 crore) led by Norwest Venture Partners (Inc42).
• Series D — February 2015: $60 million (~₹576 crore) led by Temasek and Norwest Venture Partners — the company’s largest single round (Inc42; DC Advisory acted as adviser).
• Total raised: reported at about $170 million (~₹1,632 crore) across ten rounds by Tracxn, Dealroom and YourStory; at the time of the 2015 Series D, Inc42 put cumulative funding nearer $80 million, so the lifetime figure includes later infusions.

What each backer changed is visible in the trajectory: IDG and Fidelity funded the early product and the Future Group beachhead; Norwest became the anchor that led two consecutive rounds; and Temasek’s 2015 cheque was explicitly meant to fund the shift toward SaaS and machine-learning “expert systems,” as Inc42 reported. A public post-money valuation was never disclosed — a gap worth naming rather than filling.

How it makes money

Manthan’s economics are those of an enterprise software company selling into the retail sector, with the strengths and the traps that implies.

• Money in: licence and subscription fees for analytics software, plus implementation and support services, sold to retailers and CPG firms — increasingly on a recurring cloud/SaaS basis (company descriptions; Inc42).
• Costs out: the dominant line is people. In FY20 employee-benefit expenses were ₹100.2 crore, up 17% year on year, and “other expenses” (largely sales, marketing and delivery) were ₹134.8 crore (Inc42).
• Where the margin sits: in software licences and renewals, not services — but for years Manthan’s gross software economics were swamped by the fixed cost of a global sales force chasing large, slow enterprise deals. CRISIL attributed the operating losses through FY16 to “high manpower costs and sales expenditure.”
• Working capital: the part outsiders miss. CRISIL flagged “large working capital requirement… primarily on account of high debtors” — enterprise retail customers pay slowly, so revenue on paper tied up real cash.

The numbers

Manthan’s standalone accounts, as an independent company, show a business that roughly held its top line in the mid-2010s, then grew into the ₹200-crore range by the end of the decade while its losses turned to a headline profit — mostly because of a divestment. All figures are revenue from operations and net profit/loss for the year ended 31 March, in ₹ crore.

The FY20 profit needs an asterisk. During that year Manthan transferred its research-analytics division to M-Panels Research Services for ₹96.48 crore, booking a one-off gain of ₹74.9 crore, as Inc42 reported; the buyer was ultimately tied to Tokyo-listed M3 Inc, which rebranded the unit as m360 Research. Since that single gain (₹74.9 crore) was larger than the whole year’s net profit (₹72.1 crore), the continuing software business was, by arithmetic, still not making money in FY20. Detailed public filings for FY17 and FY18 are not readily available, so this piece does not estimate them.

Where the money comes from

The surprise for an “Indian” software company is how little of its money came from India. Manthan built at home and earned abroad. Based on its FY20 filing as reported by Inc42:

• United States: about ₹153 crore, roughly 66% of revenue — the single largest market by far.
• India (domestic): about ₹20 crore, roughly 9% of revenue — though domestic sales grew about 40% from ₹14.3 crore in FY19.
• Europe: about ₹16.5 crore.
• Exports vs domestic: exports were ₹210.9 crore in FY20 versus just ₹20 crore domestic — an overwhelmingly export-led model.

The takeaway from the split: Manthan’s fate was tied to the US retail cycle and US enterprise budgets, not to India’s consumption story. That geographic concentration was both the reason it could reach ₹200-crore-plus revenue and a structural risk, since its costs sat in rupees but its growth depended on winning American retailers against much larger rivals.

The risks

Read against its own record and its investors’ assessments, Manthan’s risks were concrete, not abstract.

• Sub-scale in a big-player market. Even merged with RichRelevance, Algonomy’s roughly 400 customers and 600 staff (TechTarget, 2021) were small beside Salesforce and Adobe, the incumbents it named as competition. In enterprise software, scale funds the R&D and sales reach that win the next deal — and Manthan chronically lacked it, which is exactly why the merger happened.
• Persistent operating losses and working-capital strain. CRISIL’s low “B+” rating in 2017 rested on “weak operating efficiency” and “large working capital requirement… on account of high debtors.” A product company that cannot self-fund is dependent on the next equity cheque; slow-paying enterprise customers made that dependence structural.
• Customer and geography concentration. With about two-thirds of FY20 revenue from the US, a downturn in US retail spending or the loss of a few large accounts would hit revenue hard while rupee-denominated costs stayed fixed.
• Exit risk that materialised. The plan to IPO by 2023 (Business Standard, 2021) never happened; instead the business was sold into ADA in 2026. For founders and early employees, an indirect trade sale rather than a public listing changes both the timeline and the payoff.

The takeaway

Manthan is a case study in being right too early. Its founding thesis — that everyday retail decisions would be made with data, by the people closest to the customer — has aged extremely well; it is, more or less, the premise of the entire retail-AI industry that ADA now wants to own. But being right about the destination did not pay for the journey. For over a decade Manthan absorbed losses funding a global sales effort for a product the market was slow to buy, and when the moment came to convert vision into a standalone outcome, the answer was consolidation, not a listing: merge to reach scale in 2021, then sell into a larger platform in 2026. The transferable lesson is unglamorous. In enterprise software, a correct idea and committed investors are necessary but not sufficient; without the scale to fund distribution and outlast slow-paying customers, even a pioneer’s most likely exit is to become someone else’s building block — twice, in Manthan’s case.

Frequently asked questions

Who founded Manthan and when?

Manthan was founded by serial entrepreneur Atul Jalan in Bengaluru. CRISIL’s rating rationale and YourStory date the founding to 2003, while some startup databases list 2004; Jalan served as CEO from 2004 until 2021. It was his fourth venture, after MicroTrack, Cybertrek and Net Kraft.

What does Manthan sell, and to whom?

It sells data-analytics and business-intelligence software — covering customer analytics, merchandising, marketing and supply chain — to retailers and consumer-packaged-goods companies. By its 2015 funding round it reported more than 170 clients across 20 countries (Inc42).

How much money did Manthan raise?

Named rounds include a $15 million Series B (November 2009), a $15 million Series C led by Norwest (February 2012) and a $60 million Series D led by Temasek and Norwest (February 2015). Total lifetime funding is reported at about $170 million across ten rounds by Tracxn, Dealroom and YourStory.

Did Manthan ever go public?

No. Atul Jalan said in 2021 that he planned to list the merged company, Algonomy, by 2023 (Business Standard), but that IPO never happened. The business remained private and was later acquired.

What happened to Manthan — is it still around?

Manthan merged with US-based RichRelevance on 19 January 2021 to form Algonomy, with Jalan as CEO. In July 2026, Singapore-headquartered ADA announced it had acquired Algonomy; the combined business operates under the ADA brand across 34 markets, while Algonomy products continue.

Sources

Figures are as of September 2026. Currency converted at $1 ≈ ₹96.0 as of 18 September 2026 (Trading Economics).

• CRISIL Ratings — Manthan Software Services Private Limited, rating rationale (February 2017) and rating advisory (March 2018): FY15 and FY16 revenue and net loss, rating history, business description, working-capital and operating-loss commentary.
• Inc42 — “Retail Tech Company Manthan Records 647% Jump In Profits In FY20” (2020): FY19 and FY20 revenue, net profit, expense lines, geography split, and the M-Panels/M3 divestment gain.
• Inc42 — “Data Analytics Startup Manthan Gets $60 Mn In Series D From Temasek & Norwest” (February 2015): funding rounds, backers, client count, use of proceeds.
• TechTarget — “Customer analytics firms merge to take on Salesforce, Adobe” (January 2021): the RichRelevance merger, leadership, ~400 customers, ~600 employees, named clients.
• Analytics India Magazine — “Manthan And RichRelevance Merge To Form AI Company, Algonomy” (January 2021): merger date and Algonomy formation.
• TechNode Global / PR Newswire — “ADA acquires Algonomy” (July 2026): the ADA acquisition, 34 markets, ADA’s 1,300 employees and 1,500 clients, Manthan/RichRelevance heritage.
• Business Standard — reporting on Atul Jalan’s 2023 IPO plan for Algonomy (January 2021) and “Manthan gears up to raise $50 mn” (April 2014).
• Tracxn and Dealroom — company profiles: cumulative funding (~$170 million across ten rounds) and investor list.
• YourStory — “Of Manthan and how Atul Jalan built a multi-million-dollar analytics business” (June 2017): founding story, the Future Group partnership, founder background.
• Trading Economics — USD/INR reference rate (18 September 2026).

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