Top Artificial Intelligence company recognized by Clutch
Agentic AI for
Technology Providers
Technology companies are under pressure to ship the AI capabilities their customers expect, not as demos, but as production-ready features that work reliably at scale. Vstorm helps technology providers design, deploy, and integrate Agentic AI systems into their products and platforms.
Agentic AI enables technology products to move beyond static interfaces. Rather than responding to explicit user commands, agents can monitor context, anticipate next steps, and act autonomously within defined boundaries, making products that feel genuinely adaptive rather than simply reactive. For technology providers, this is the shift from feature parity to differentiation.
The highest-value applications of Agentic AI in technology products are not single-step automations. They are multi-step workflows: verification, routing, decision-making, escalation, where an agent coordinates across systems and data sources, applies business logic, and completes tasks end-to-end without human intervention at every stage. Vstorm designs and builds these systems for production environments, not just controlled demonstrations.
Agentic systems can analyze patterns across product usage data, infrastructure signals, and customer behavior to surface problems before they become visible to users. For technology providers, this enables support deflection, proactive alerting, and usage-based recommendations, moving products from reactive to genuinely proactive without requiring manual analysis at scale.
Embedding Agentic AI into high-technology products
Technology companies typically have strong engineering foundations and established data infrastructure. This allows Vstorm to deploy Agentic AI systems faster and with deeper integration than is possible in less mature environments without forcing teams to replatform or rebuild what is already working.
Our engineering team works alongside existing product and infrastructure teams, contributing specialized agentic expertise while transferring capability so internal teams can own and extend the systems we deliver.
Our projects
Swapping Iron: migrating AI workloads from Nvidia to Intel Gaudi
Vstorm migrated Machine Learning workloads designed for Nvidia hardware to Intel Gaudi AI accelerators, a complex architecture change requiring deep knowledge of model internals, driver-level behavior, and performance optimization across a different compute stack.
The engagement preserved model accuracy and throughput while opening a more cost-effective infrastructure path for the client.
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Agentic AI architecture design for Spectrally
Spectrally is a deep-tech startup specializing in real-time chemical analysis using Raman spectroscopy.
Vstorm worked with their team to investigate their data, technology stack, and commercial strategy; mapping high-impact, viable opportunities to integrate agentic and machine learning capabilities into their product roadmap.
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Data infrastructure for AI integration at Glucoactive
Glucoactive is an R&D startup developing a non-invasive glucose monitoring device.
Vstorm helped prepare their data infrastructure for AI integration, building engineering tooling that supports detailed analysis, improves data quality, and reduces the cost of ongoing device R&D. The engagement reduced manual overhead while enabling the team to move faster on their core product.
Read moreOur Agentic AI services for technology providers
Agentic AI system architecture and deployment
End-to-end design and deployment of production-ready AI agent systems, built to integrate with your existing product infrastructure and data pipelines without requiring replatforming.
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Multi-agent system development
For technology products where complex workflows span multiple systems or user contexts, we design multi-agent architectures where agents coordinate, hand off tasks, and escalate appropriately, reducing the surface area for failure in production.
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RAG advanced engineering
Agents embedded in technology products frequently need to reason over proprietary documentation, customer data, or domain-specific knowledge bases. We engineer retrieval-augmented generation pipelines built for production accuracy, latency requirements, and data governance.
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Agentic AI system audit and optimization
For technology teams with AI features already deployed but underperforming, we diagnose integration gaps, reasoning failures, and observability blind spots and resolve them with the target infrastructure in mind.
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AI consulting and readiness assessment
For technology providers earlier in their Agentic AI journey, we map current product capabilities, identify where agentic functionality would create the most measurable value, and produce a deployment roadmap grounded in engineering reality.
Learn moreOur Clients are Featured In
CEO, Hypothes.is
One of the key outcomes of this engagement has been the successful application of generative AI to facilitate collaboration. Vstorm’s feedback-driven approach led to significant improvements in project execution and efficiency, overcoming initial challenges and demonstrating our ability to adapt and innovate in a rapidly evolving tech landscape.
Managing Director, Sonorys Technology GmbH
This partnership has allowed Sonorys to enhance its R&D capabilities and meet its project goals efficiently.
Global Director, MindSonar
Their knowledge, eye for detail, and willingness to commit was impressive. Vstorm’s delivery is – due to the scrum and the sprints – very systematic. They are transparent in what they do and who does it and how many hours it takes.
R&D Center Manager, Viessmann
The team’s top-notch support boosts efficiencies and saves the client a lot of time and money.
