Latent View Analytics: Databricks growth, FY27 visibility

Why Latent View’s AI pivot is in focus

Latent View Analytics is repositioning itself around AI-led analytics delivery as enterprise spending shifts from experimentation to deployment. Brokerages and management commentary cited a growing mix of client-visible AI work and AI embedded inside delivery workflows. The near-term story is a combination of strong demand pockets in data engineering and advanced analytics, and a more cautious view on workstreams that could be automated faster. This matters because Latent View’s business mix includes a large Diagnostics component that management expects to face pressure in technical areas susceptible to automation. At the same time, partnerships and platforms such as Databricks are becoming central to its growth narrative.

FY26 revenue mix: client-facing AI and AI-enabled workflows

Management indicated that about 28% of FY26 revenue was linked to client-visible AI projects, including Generative AI and agentic AI implementations. Another 21% of FY26 revenue was supported by AI-enabled workflows and decision-making systems. Separately, the company also highlighted that nearly 49% of FY26 revenue came from Advanced AI services, signalling a faster shift of the portfolio toward AI-heavy work. The company is also prioritising expansion of its advanced AI horizontal capabilities, which were described as representing about 20% of revenue in another disclosure within the same coverage set. Taken together, the disclosures point to AI being increasingly embedded across both delivery and new sales motion, though the stated mix numbers vary across sources.

Databricks partnership: scaling revenue and bigger targets

Latent View’s Databricks partnership is a core driver in its data engineering push. Databricks-related revenue rose to about USD 17.5 million in FY26 from about USD 12.0 million in FY25. Another broker note pegged Databricks revenue as expected to rise from USD 11.0 million to over USD 19.0 million in FY26, and pointed to a USD 50.0 million target in three years. Management expectations cited in the coverage include more than 60% growth ahead, supported by deeper enterprise engagement and stronger positioning in Databricks’ ecosystem. The company also cited USD 1.4 million in new wins tied to Databricks.

FY27 growth visibility and stated ambition for USD 200 million

Management commentary included 12% to 13% growth visibility at the start of FY27, based on existing bookings and a high-probability deal pipeline. It also referenced investments being made with an internal growth objective of 18% to 20% for FY27. Elsewhere, management reiterated aspiration to reach USD 200.0 million revenue by FY28, and in another management clip discussed an ambition of doubling from about USD 100.0 million (for the year ended March 31, 2025) to USD 200.0 million over three years. One brokerage note also framed a USD 200.0 million to USD 220.0 million three-year target. On the model side, one estimate cited a revenue CAGR of 20.1% over FY26-28E.

Vertical momentum: BFSI and CPG and Retail stand out

Vertical performance commentary pointed to BFSI and consumer as key drivers. In one update, BFSI was up 4% QoQ and CPG and Retail was up 34% QoQ. Another brokerage note described 11 consecutive quarters of sequential growth, driven by BFSI (+27% QoQ) and CPG and Retail (+31% QoQ). Management expectations also included BFSI potentially growing around 40% in FY27, as per one summary. The broader narrative across notes is that BFSI and consumer momentum is helping offset pressure in parts of the technology segment.

Segment risk: Diagnostics exposure and automation sensitivity

Latent View highlighted that the evolving AI landscape could pressure its Diagnostics segment, described as about 60% of revenue, especially on technical tasks more exposed to automation. This risk framing is important because it ties directly to how AI changes the delivery economics in analytics and IT services. The company is responding by leaning into areas where enterprise urgency is high, particularly data engineering and AI-ready infrastructure. It also cited expanding activity within the Snowflake and Google Cloud Platform ecosystems alongside Databricks.

Investments: AI CoE, leadership hiring, and Healtheon AI

The company is accelerating investments in an AI Center of Excellence, senior leadership hiring for the AI CoE and Databricks practice, and is evaluating a potential CTO hire. It is also investing in forward-deployed engineering talent and agentic AI capabilities to align with enterprise adoption. A disclosed investment includes USD 3.0 million in Healtheon AI to build healthcare-focused agentic AI solutions, positioned as long-term optionality in verticalised AI platforms. Management also referenced an AI playbook spanning solution accelerators, agentic AI for business process automation, and partnerships with technology and native AI companies.

Deal pipeline signals: from small pilots to larger contracts

Deal commentary in the coverage included early-stage engagements worth USD 0.025 million to USD 0.050 million expected to scale into multi-million dollar opportunities. It also mentioned four deals of USD 1.0 million-plus in the pipeline. On GenAI and agentic AI, one note cited USD 5.5 million in confirmed revenues for the year and a further USD 7.0 million active pipeline. Another brokerage initiation referenced a GenAI and agentic AI pipeline of USD 8.0 million-plus.

Analyst targets and ratings: what the Street is implying

The analyst community commentary remained broadly constructive in the provided material, with multiple BUY ratings cited. The average 12-month analyst price target was stated at about ₹561.67, with a range of ₹495 to ₹630. One initiation note cited a target price of ₹570 using a 40x multiple on Sep’27E earnings. Another note maintained BUY with a revised target price of ₹500 (from ₹520 earlier). PL Capital cited a BUY rating with a target of ₹450 against a then-current market price of around ₹326.

Key numbers at a glance

What to watch next

Near-term tracking points include how quickly Databricks-linked work scales beyond the FY26 run-rate and whether the company converts GenAI and agentic AI pipeline into repeatable programs. Investors will also watch how margins behave as the company reinvests in AI talent and leadership, with one note suggesting operating margin stability in the 23% to 25% range and reinvestment above that to drive growth. Another important monitorable is the pace of automation impact on Diagnostics work, given the stated ~60% revenue exposure. Any further updates on acquisitions, especially targets with stronger Databricks capabilities, will also be relevant based on management commentary.

Conclusion

Latent View Analytics is anchoring its medium-term narrative around AI-led delivery, data engineering scale-up, and a rapidly expanding Databricks partnership. Management’s stated growth visibility for FY27, combined with targets such as USD 200.0 million revenue ambition, frames the near-term execution bar. The next signals will likely come from conversion of the stated GenAI pipeline, the trajectory of Databricks revenue, and how the company manages automation pressure in legacy technical work.