Our verdict
v4c.ai is one of the fastest-growing Databricks partners: Databricks Ventures invested in May 2026, and the firm reported 900% year-over-year revenue growth and more than 400 staff. It suits a company that has chosen Databricks and wants a dedicated partner to build data and AI on it, and it is less suited to a buyer who wants advice across several data platforms.
The right buyer
- Databricks customers. It has more than 600 Databricks certifications and more than 150 joint customers (v4c.ai announcement).
- Companies building AI on their lakehouse data with a partner that works on nothing else (v4c.ai announcement).
- Buyers who value a close vendor relationship. Databricks’ chief revenue officer calls it a rising star in the Databricks community (v4c.ai announcement).
Reasons to look elsewhere
- It works only on Databricks.
- It is growing very fast, toward a projected 700 staff by the end of 2026, which can stretch senior oversight on each account.
v4c.ai, At A High Level
v4c.ai began as a strategic partner for the Dataiku AI platform and now calls itself a boutique pure-play Databricks services partner (v4c.ai, August 2024; v4c.ai, May 2026). Founder Vijay Rao previously built Apisero, a MuleSoft consultancy that NTT Data acquired (v4c.ai).
- Headquartered in Scottsdale, Arizona (v4c.ai announcement).
- More than 400 data and AI professionals in May 2026, with a projected 700 by the end of 2026; we estimate annual revenue of $30 million to $45 million (v4c.ai announcement).
- Series A investment from Databricks Ventures and Tquila in May 2026 (v4c.ai announcement).
- Reports an 800% organic increase in customer acquisition and 900% year-over-year revenue growth since its Databricks relationship began (v4c.ai announcement).
Scores by criterion
We scored v4c.ai from its Databricks Ventures announcement and its board announcement. Technical depth, delivery, and independent evidence score highest; platform independence scores lowest because it works only on Databricks.
| Criterion | Weight | Score | Basis |
|---|---|---|---|
| Production track record | 20% | 6.5 | More than 150 joint customers in a short time; few public case studies. |
| Technical depth | 15% | 7.0 | More than 600 Databricks certifications across data, ML, and AI. |
| Industry depth | 10% | 6.0 | Works across industries with no stated vertical focus. |
| Delivery model and handoff | 15% | 7.0 | Builds and supports Databricks programs end to end. |
| Commercial clarity | 10% | 5.0 | No published rates or terms. |
| Platform independence | 10% | 4.5 | Works only on Databricks. |
| Stability and scale | 10% | 6.5 | More than 400 staff and new venture backing, but very fast growth. |
| Independent evidence | 10% | 7.0 | Investment and public praise from Databricks executives. |
| Overall | 100% | 6.3 | Weighted average |
Where v4c.ai fits
v4c.ai is used by companies that have standardized on Databricks and want a partner that does nothing else, for data engineering, machine learning, and AI on the lakehouse. On price it is a mid-market option. Competitors on this site include Advancing Analytics for Databricks specialists, Blue Orange Digital and phData for data-platform AI, and InterWorks for Snowflake and Sigma shops.
| Need | Fit | Why |
|---|---|---|
| A Databricks lakehouse build | Strong | It works only on Databricks, with more than 600 certifications. |
| AI on lakehouse data | Good | It builds data, machine learning, and AI systems on Databricks. |
| Choosing between data platforms | Weak | It works on one platform. |
| Scaling a Databricks team fast | Good | It is adding staff quickly toward 700. |
What clients and leaders say
v4c.ai’s leaders and clients describe its work in published announcements. One buyer concern is written from public facts about the firm.
“v4c has become a rising star in the Databricks community. Their technical depth, customer focus, and investment in the Databricks platform are delivering huge outcomes for our joint customers.”
“We built v4c around a deep belief in the Databricks vision and the future of the Lakehouse ecosystem.”
“They know Databricks inside out, but when we wanted to compare it with Snowflake they were not the right people to ask.”
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: v4c.ai announcement, which describes it as a pure-play Databricks partner.
Who leads v4c.ai
Vijay Rao founded v4c.ai and sits on its board; he previously founded Apisero (v4c.ai).
