Prismberry was founded with a single conviction — technology should compound business value, not complicate it. What began as a focused software engineering studio in Noida has grown into a global AI-first solutions company serving Fortune 500s, fast-scaling startups, and category-defining innovators.
Today, we operate across India, the USA, and the UAE, delivering AI infrastructure, custom software, cloud platforms, and intelligent automation. Our work powers organizations like Zaggle, TaxSpanner, SastaSundar, Dimagi, Egnyte, and many more.
As a company under Eyantra Ventures Limited, we combine the agility of a product team with the depth of an enterprise consultancy — pushing the boundaries of what’s possible with AI, while staying grounded in measurable
From a small team of passionate engineers to a global force in AI-powered software, Prismberry has always believed in the transformative power of intelligent technology.
We turn ambitious ideas into real-world systems and treat AI as the foundation of modern business, not a layer added later.
We deliver enterprise AI infrastructure, custom software, and automation that improve performance over time, not just ship features.
Five principles that guide every line of code, every client conversation, every architectural decision.
Upholding honesty, transparency, and ethical standards in every engagement.
Continuously seeking and embracing new ideas, frameworks, and technologies.
Fostering teamwork, communication, and mutual respect among all stakeholders.
Striving for the highest quality, measured by outcomes our clients can prove.
Commitment to environmentally conscious practices and long-term viability.
Prismberry by the numbers
AI engineering, cloud-native systems, and digital transformation built to make enterprises move faster and smarter.
Consulting, engineering, and digital transformation projects executed globally.
Building AI-first enterprise software since 2014.
AI engineers and cloud architects operating at global enterprise scale.
Serving healthcare, fintech, SaaS, logistics, and enterprise technology.
LLM, vision, and predictive AI systems running at enterprise scale.
Long-term partnerships built on trust, outcomes, and delivery discipline.
Deep expertise across regulated, data-intensive, and high-growth verticals.
AI, software engineering, cloud, QA, data, mobile, staffing, and cyber security.
AgentIQ, RevenueIQ, VisionIQ, Pluggy, and TaxIQ across enterprise workflows.
Serving clients across India, USA, and the Middle East.
How Prismberry evolved from a focused engineering studio in Noida to a global AI-first solutions company.
Prismberry begins as a focused software engineering studio with a single principle — technology should compound business value, not complicate it. The first enterprise clients sign on within months.
Expansion into cloud services, mobile application development, and quality assurance. Major enterprise engagements with Zaggle, TaxSpanner, and SastaSundar establish our reputation for outcome-led delivery.
Operations expand to Schaumburg, Illinois (USA) and Dubai (UAE) — supporting enterprise clients across three continents with localized engagement and 24-hour delivery capacity.
Prismberry restructures around an AI-first methodology — every project starts with the question "where can intelligence compound here?" The first proprietary AI products (VisionIQ, RevenueIQ) are conceived.
Five AI products go to market, packaging years of enterprise AI consulting into reusable platforms. ISO 27001 certification achieved. 500+ solutions delivered milestone crossed.
Prismberry is now an Eyantra Ventures company serving Fortune 500s, fast-scaling startups, and category-defining innovators. Engineering the next era — one intelligent system at a time.
The visionaries and engineers driving Prismberry's AI-native enterprise platform — turning intelligent systems into real business outcomes.
Clear answers to the most common questions clients ask before starting a software, AI, or digital product engagement with Prismberry.
We work with startups, scale-ups, and enterprise teams across SaaS, eCommerce, healthcare, fintech, logistics, AI products, and digital transformation. The best fit is a company with a clear business goal that needs a dependable product engineering partner to design, build, improve, or scale digital platforms.
Yes. Our team handles full-cycle software development along with AI-powered capabilities such as automation workflows, AI agents, recommendation systems, computer vision, predictive analytics, and intelligent dashboards. We focus on practical AI that solves real operational and customer experience problems.
Timelines depend on scope, product complexity, integrations, and approval cycles. A focused MVP usually takes 6 to 12 weeks. Larger web apps, enterprise software, SaaS platforms, or AI-enabled systems can take 3 to 6 months or more. We usually begin with a discovery phase so timelines, features, and delivery milestones are clearly mapped.
Yes. Before development begins, we can help define the product roadmap, user journeys, technical architecture, feature priorities, AI use cases, third-party integrations, and release plan. This helps reduce rework and ensures the product is built around business outcomes, not just feature lists.
Absolutely. We can audit existing systems, improve performance, redesign outdated interfaces, modernize legacy code, migrate platforms, optimize databases, rebuild modules, and add new AI or automation features. We approach modernization carefully so business continuity is protected during the transition.
We keep the process structured and transparent. You get a dedicated project lead, planned sprints, regular progress updates, milestone reviews, and clear communication around blockers or decisions. Our goal is to make sure you always know what is being built, why it matters, and what is coming next.
Yes. We offer post-launch support for bug fixes, performance monitoring, security updates, cloud optimization, feature enhancements, analytics tracking, AI model improvements, and ongoing product iterations. Many clients continue with us after launch to keep improving their platform.
The first step is a discovery conversation where we understand your goals, current challenges, product requirements, timeline, and expected outcomes. After that, we can recommend the right engagement model, scope the work, and create a clear roadmap for design, development, AI integration, or modernization.
