For leaders who need the systems and the people to work together.
The systems your business runs on, and the people who run them, are the same problem. Most consultancies treat them as two. We built Squibb to treat them as one.
Squibb designs and builds the data architecture, applied AI systems, and capability programs that decide whether intelligent decision-making actually works. Our work spans regulated financial data, operational and industrial systems, sensor and telemetry intelligence, document and unstructured data, and the applied AI layer that now sits on top of all of it.
Two practices, one Squibb. The technology and data practice, led by founder Bakul Krishana (BK), builds modern data platforms, semantic and governance layers, agentic AI systems, and the analytics infrastructure enterprise teams actually trust. The learning and development practice, led by co-founder Priyanka Agarwal, designs AI literacy, curriculum, and capability programs that make complex ideas land with real people.
Architect-led from first conversation to final delivery. The person who scopes the work is the person who builds it. There are no account managers standing between you and the people doing the work.
In 2017, we built Squibb around a single observation. Most enterprise data, AI, and training programs fail for the same reason: the systems and the people using them are built by different teams, with different assumptions, for different outcomes. The technology is rarely the problem. The design between the technology and the humans is.
We started in education because that is where the discipline of making complex ideas clear is strongest. Curriculum design, content architecture, instructional strategy. This is how you learn to build something people will actually understand before you hand it to them. That discipline shaped everything that came later.
From that foundation, we moved into the places where enterprise data and AI investments were failing. Risk and finance data at one of the world’s largest banks. Upstream oil and gas operations across multiple majors. Data trust frameworks inside regulated mortgage servicing. Each engagement looked different on the surface. Underneath, the problem was always the same: someone had built a system without designing for the people who would run it.
Today, Squibb operates as two practices under one name. Bakul Krishana (BK) leads the technology and data practice, bringing two decades of enterprise data architecture and applied AI experience. Priyanka Agarwal leads the learning and development practice, with deep expertise in curriculum design, instructional strategy, and capability programs for enterprise and education clients. She was recognised as HeyKey Women Entrepreneur of the Year 2025.
Nine years in, the conviction hasn’t changed. Systems work when the people running them are part of the design from the start.
Every engagement is run by the person who scoped it. No layers, no junior teams running the real work, no dilution between the conversation you had and the systems that get shipped.
Most consultancies do infrastructure or they do training. We do both, because the systems and the people who use them are inseparable. One place for the architecture and the capability to operate it.
Most AI projects fail because the data underneath was never structured for it. We fix that first, then build the intelligence on top.
A senior-led practice of architects, engineers, and learning designers. We build the data and AI systems modern companies depend on, and the capability programs that make them usable. Scoped and delivered by the same senior hands. No handoff layer.
Technology & Data Practice
For leaders whose data is fragmented, whose dashboards aren’t trusted, and whose AI pilots aren’t shipping. We build the architecture underneath so the intelligence above it works.
Bakul Krishana (BK), Founder
Learning & Development Practice
For leaders whose people need AI literacy, whose curriculum has to land, and whose capability programs aren’t sticking. Designed for how people actually learn.
Priyanka Agarwal, Co-Founder
We help companies modernize data platforms, build production AI systems, and develop the teams who use them. From semantic layers to agentic architecture to capability programs, we deliver the foundations that make intelligent systems actually work.
Tell us what you’re working on. We’ll show you how to get from data foundations to production systems.
Squibb Consulting LLP