Our verdict
Ksolves reported record revenue of ₹162.7 crore (about $18.5 million) for the year to March 2026, says more than 80% of its active projects now include AI, and runs more than 50 AI agents in production (Q4 FY26 release). It suits a mid-sized company that wants an Indian team to implement Salesforce, Odoo, or an Apache data stack and add AI to it at offshore rates, and it is less suited to a buyer that wants advanced machine learning research or onsite teams in Europe.
The right buyer
- ERP and CRM projects. It is a Salesforce Summit partner for the third year running and an Odoo Gold partner, and it moved a listed Indian infrastructure company from SAP to Odoo (Q4 FY26 release; about page).
- Data engineering teams on open source stacks. It works with Kafka, NiFi, Spark, Cassandra, Databricks, and Snowflake, and says its agents now automate NiFi workflows end to end (about page; Q4 FY26 release).
- Buyers who want cost-efficient offshore delivery with public financials. It is listed on India’s NSE and BSE and reports results every quarter (about page).
Reasons to look elsewhere
- Revenue fell 4.7% year over year in the quarter to September 2026, after years of fast growth.
- Most of its work is platform implementation, so buyers who want research-heavy custom models will find fewer cases.
Ksolves, At A High Level
Ratan Srivastava founded the firm as Kartik Solution in Indirapuram in 2012, renamed it Ksolves India in 2014, and listed it on the NSE in 2020 (about page). He is founder, chairman, and managing director; Manish Gurnani is chief technology officer and Umang Soni is chief financial officer (about page; Q4 FY26 release). It has offices in Noida, Pune, and Indore, plus the US, Dubai, and Australia (about page).
- Headquartered in Noida, India (Q4 FY26 release).
- Revenue of ₹162.7 crore (about $18.5 million) and profit after tax of ₹34.3 crore for the year to March 2026, with more than 600 staff; revenue for the quarter to September 2026 was ₹37.80 crore, down 4.7% (Q4 FY26 release; about page).
- Services cover AI and machine learning, big data, cloud, Salesforce, Odoo, data analytics, DevOps, Java and microservices, and penetration testing (about page).
- About 77% of revenue came from overseas, led by North America, and more than 80% from repeat customers (Proinvest Nirmiti).
Scores by criterion
We scored Ksolves from its about page, its April 2026 results release to the stock exchanges, and an analyst write-up. Stability scores highest because it is listed and profitable; commercial clarity scores lowest because it publishes no rates.
| Criterion | Weight | Score | Basis |
|---|---|---|---|
| Production track record | 20% | 7.0 | 50+ AI agents in production, 100+ AI-led deliveries, and an SAP to Odoo migration for a listed company. |
| Technical depth | 15% | 6.0 | Agentic AI, big data on Apache tools, Salesforce, and Odoo. |
| Industry depth | 10% | 6.5 | Infrastructure, accounting, financial crime, real estate, and e-commerce work. |
| Delivery model and handoff | 15% | 6.5 | Offshore delivery with output-based engagement models. |
| Commercial clarity | 10% | 5.5 | Engagement model described; no published rates. |
| Platform independence | 10% | 6.0 | Salesforce, Odoo, Databricks, and Frappe partner; open source data tools. |
| Stability and scale | 10% | 7.5 | Listed since 2020; 600+ staff and about $18.5 million revenue. |
| Independent evidence | 10% | 6.5 | Quarterly filings, partner awards, and Great Place to Work certification. |
| Overall | 100% | 6.5 | Weighted average |
Where Ksolves fits
Ksolves is used by mid-sized companies in North America, Europe, Australia, and the Middle East that want an Indian team to implement Salesforce or Odoo, build big data systems, and add AI agents to those systems. On price it sits with Indian offshore firms, well below US and European firms. Competitors on this site include Simform and Intuz for Indian software and AI work, and Anblicks for data and AI engineering.
| Need | Fit | Why |
|---|---|---|
| Salesforce or Odoo with AI added | Strong | It is a Salesforce Summit and Odoo Gold partner and embeds AI in most projects. |
| Big data on Kafka, NiFi, or Spark | Strong | Apache data tools are a core practice with automated NiFi workflows. |
| Offshore data science staff | Good | It placed data scientists with a New York financial crime advisory firm. |
| Research-heavy custom models | Weak | Its work centers on platforms and implementation. |
What clients and leaders say
Ksolves’s leaders and clients describe its work in published announcements. One buyer concern is written from public facts about the firm.
“FY26 marked an important milestone for Ksolves as we crossed ₹150 crore in annual revenues, reflecting the increasing scale, resilience, and maturity of our business.”
“At Ksolves, we strongly believe in using AI across all aspects of work - whether coding, testing, operations, or communication.”
“FY26 was a year of strong financial performance alongside continued investment for future growth.”
“Their Salesforce and data teams delivered on price, but the AI work they showed us was mostly agents added to platform projects, so we tested a custom model case before committing.”
Where customer reviews couldn’t be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums and product documentation. Based on: Ksolves’ April 2026 results release and the services list on its about page.
Who leads Ksolves
Ratan Srivastava founded Ksolves in 2012 and is its chairman and managing director (about page; Q4 FY26 release).
