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Sparq Launches Intelligence Studio to Operationalize AI at Enterprise Scale
Three AI accelerators deliver decision-ready intelligence that integrates directly into existing operational systems
Published on Feb. 10, 2026
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Sparq, an AI-accelerated solution engineering partner, has announced the launch of Sparq Intelligence Studio, a new intelligence foundation designed to operationalize AI inside the core systems enterprises rely on. The studio aims to bridge the gap between AI experimentation and operational performance, delivering trusted intelligence to the point of decision faster.
Why it matters
Many organizations struggle to translate their investments in AI capabilities into measurable business impact, as AI initiatives often remain disconnected from the core operational systems. Sparq Intelligence Studio addresses this challenge by integrating AI-driven intelligence directly into enterprises' existing workflows and systems, enabling them to realize the benefits of AI at scale.
The details
Sparq Intelligence Studio combines repeatable intelligence patterns with an enterprise-grade orchestration layer, allowing teams to deploy intelligence in real time, keep it auditable, and tie it directly to operational performance. The studio launches with three accelerators: Ask.IQ for delivering governed, data-backed answers across the business; Verify.IQ for validating inputs before they enter core systems; and Assert.IQ for using AI-driven quality intelligence to improve software releases.
- Sparq announced the launch of Sparq Intelligence Studio on February 10, 2026.
The players
Sparq
An AI-accelerated solution engineering partner that builds intelligent operational systems for enterprises.
Ingrid Curtis
The CEO of Sparq.
Derek Perry
The CTO of Sparq.
What they’re saying
“AI is no longer just a tool. It's a way to engineer how work gets done.”
— Ingrid Curtis, CEO of Sparq
“Intelligence only compounds when it's connected to the systems that run the business.”
— Derek Perry, CTO of Sparq
The takeaway
Sparq's Intelligence Studio aims to bridge the gap between AI experimentation and operational performance, enabling enterprises to realize the benefits of AI at scale by integrating decision-ready intelligence directly into their core systems and workflows.
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