Calsoft is spearheading large-scale AI adoption, from automating 60% of India’s toll plazas to building intelligent data platforms, reducing operational costs by up to 40% for global clients. Dr. Anupam Bhide, Founder & CEO, Calsoft Inc. speaks exclusively to Rajneesh De, Group Editor, CXO Media & APAC Media on large-scale AI deployments in telecom and drug discovery.
What are the solutions and services currently in the Calsoft portfolio spanning across AI, cloud and cybersecurity for the Indian market?
We have built our portfolio around real-world enterprise needs across AI engineering, cloud modernisation, and embedded security. On the AI side, we support everything from custom model training to MLOps and impact-based testing.
Our cloud services focus on multi-cloud orchestration, migration, and infrastructure readiness, especially for mid-to-large enterprises looking for agility without compromise. And cybersecurity is woven into every layer—DevSecOps, compliance readiness, vulnerability scans, and continuous monitoring.
The value we bring lies in how we integrate these layers to help our customers move fast but stay secure and efficient.
Can you explain the use cases of some large-scale AI deployments done by Calsoft in India?
One of our larger deployments in India was for a telecom client, where we implemented AI-driven network diagnostics and predictive alerts, helping reduce manual interventions and improve uptime.
We have also developed prototypes for potential customers, including a Molecule Validation Framework to support patent filing for a leading player in the drug discovery space.
We do not take a one-size-fits-all approach. Our focus is always on solving specific pain points—be it automating decisions, reducing operational overhead, or enabling faster time to insight.
Which are the verticals where Calsoft solutions are witnessing maximum traction? What will be the domain-wise proportionate contribution to the topline?
We are seeing consistent traction in Product Engineering, AI/ML and Telecom. These sectors are at different points in their AI and cloud journeys, but the urgency to modernise is common.
In terms of topline contribution across verticals (approximate India mix):
- Product Engineering: ~55%
- AI ML, Data and IoT: ~16%
- Security: ~15%
- Telecom: ~4%
- Others: ~10%
Each vertical is adopting AI and cloud at its own pace, but we’re seeing a shift from experimentation to production-grade rollouts.
What will be the geographical spread of Calsoft in terms of topline revenue? What is the contribution from the Top 5 clients?
Today, our revenue mix is from the U.S., Europe, and India & APAC. India is a key growth market for us—not just for delivery, but also for innovation partnerships, especially with startups and public sector tech bodies.
Our top 5 clients contribute roughly 50% of our global revenue, which gives us healthy diversification but also strong anchor relationships where we’re seen as long-term partners, not just vendors.
What are the three key pillars of your GTM strategy? What are the key initiatives undertaken as part of this strategy?
Our GTM strategy is built on three clear pillars:
- Domain-Centric Value Creation – We do not sell services; we solve specific problems for BFSI, telecom, and tech-first firms.
- Platform-Led Engineering – Whether it is AI, DevOps, or cloud, we work at a platform level to help clients scale faster.
- Co-Innovation with Ecosystem Partners – We actively collaborate with players like Nvidia, Microsoft, AWS, and Red Hat to create joint GTM offerings.
One key initiative is CalTIA, our AI-powered testing platform that has seen strong uptake, especially in product and platform engineering. Another is our AI Innovation Hub, which helps clients test AI use cases before scaling them.
What are the unique differentiators of Calsoft as a provider of Machine Learning as a Service (MLaaS)?
For us, MLaaS is not just about model training. It us about solving for the full lifecycle—data prep, model ops, versioning, deployment, and explainability.
Three differentiators come to mind:
- We offer domain-tuned models, especially for BFSI, telecom, and healthcare.
- We are infrastructure-agnostic—whether clients run on cloud, edge, or hybrid, our models adapt.
- And we are strong on governance and compliance, with explainable AI frameworks built in.
That balance between agility and accountability is where clients see value.
How has Calsoft devised strategies to strengthen cybersecurity in the overall BCP plan?
At Calsoft, cybersecurity is not treated as a standalone function; it is integrated into every aspect of our operations. It is designed as a foundational element across our delivery lifecycle and embedded directly into our business continuity planning (BCP).
Our implementation of Zero Trust goes beyond access controls. We enforce identity isolation, infrastructure hardening, secure credentials, secrets management, and policy-driven runtime protection and enforcement are embedded in our DevSecOps pipelines.
Security practices are aligned to the nature of the workloads we manage, whether they are embedded systems, cloud-native platforms, or complex multi-vendor integrations. We’ve institutionalised secure-by-default patterns. We continuously validate our resilience posture through real-world breach simulation exercises, drills, and automated backup integrity checks.
We have established a Cyber Fusion Centre that functions as an integrated response command. It ingests telemetry from internal and customer systems (SIEMs), correlates threats in real-time, and enables us to simulate, triage, and respond to incidents in near real-time.
For us, BCP is not just about recovery; it is more about resilience, continuity, and reducing blast radius. The goal is to minimise disruption proactively, not just respond after the fact.
What are the expansions planned in the next few quarters in terms of product lines, service lines, geography, workforce, verticals and infrastructure?
We are scaling Calsoft on multiple fronts to stay ahead of the curve. On the product side, we are doubling down on AI-led platforms like CalTIA and exploring GenAI-RPA convergence.
Our service expansion includes Cloud FinOps, LLM Ops, and Edge AI. Geographically, we are strengthening our footprint in India, while deepening engagements across US.
We are targeting 25% YoY workforce growth, focused on AI, full-stack engineering, and cyber resilience. Our AI R&D Lab and Security CoE are scaling up to support this.
Over the next few years, we aim to cross $100M in revenue, onboard 40% new customers across emerging sectors like IoT, Retail, and Healthcare, and deliver over 50 projects in AI/ML, Cloud, and Security.
