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Home»Interviews»Knit Secures $16.1Million Sequence A to Redefine Enterprise Insights with Researcher-Pushed AI
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Knit Secures $16.1Million Sequence A to Redefine Enterprise Insights with Researcher-Pushed AI

Editorial TeamBy Editorial TeamAugust 1, 2025Updated:August 1, 2025No Comments4 Mins Read
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Knit Secures .1Million Sequence A to Redefine Enterprise Insights with Researcher-Pushed AI
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With $30M+ in whole funding, Knit delivers human and AI-powered insights to main enterprises together with Amazon, NASCAR, Mars Wrigley, and Time beyond regulation to make smarter, sooner data-powered choices

Knit, the AI-powered platform reworking how enterprises conduct client analysis, introduced it has raised $16.1 million in Sequence A funding. The spherical was led by GFT Ventures and Ashton Kutcher’s Sound Ventures with continued participation from Silicon Street Ventures, Osage Ventures, Rise of the Relaxation, and others. Notable angel traders similar to David Kirk, former Chief Scientist at NVIDIA, and Gokul Rajaram, founding associate of Marathon Administration, additionally participated on this spherical.

Knit’s platform allows customers to run customized analysis and obtain “report-ready” insights inside days which are pushed by generative AI and human experience. Conventional analysis options like market analysis businesses usually present business perception however could be sluggish and expensive. In the meantime, new AI instruments promise velocity and affordability, however continuously lack depth and substance. Knit addresses these challenges by elevating, not changing, the researcher to ship high-quality insights on the tempo trendy groups demand.

Additionally Learn: AiThority Interview with Suzanne Livingston, Vice President, IBM Watsonx Orchestrate Agent Domains

“Enterprise researchers are being requested to do extra with much less,” stated Aneesh Dhawan, Co-Founder and CEO of Knit. “Knit empowers them to ship quick, cost-efficient insights with out sacrificing high quality or management. This funding accelerates our imaginative and prescient for a human + AI platform that makes analysis accessible, contextual, and decision-ready.”

Every analysis venture on Knit is powered by a singular mixture of human researcher experience and AI. Knit’s group of knowledgeable researchers works carefully with clients to seize the nuance and context behind their analysis method, making certain that each research displays each their particular targets and distinctive analysis model. That context is then embedded into the platform, the place AI delivers quick, structured, and tailor-made outputs to be used instances similar to speedy idea testing or strategic buyer segmentation. This human and AI method transforms analysis from a bottleneck right into a strategic benefit, serving to groups run extra research, uncover sharper insights, and make an even bigger influence, sooner.

“Enterprise analysis is an enormous market that’s ripe for AI disruption,” stated Jeff Herbst, Founding Managing Companion at GFT Ventures. “Knit has constructed expertise that really meets the wants of contemporary analysis groups. Their traction with a number of the world’s largest and most forward-thinking manufacturers, standout group, and clear imaginative and prescient for the place this market is headed place them to guide the brand new period of enterprise insights.”

The elevate follows a yr of sturdy momentum for Knit, marked by 5X year-over-year progress and widespread adoption throughout Fortune 500 manufacturers. Knit has introduced on greater than 60 enterprise manufacturers similar to Amazon, NASCAR, Time beyond regulation, and Mars Wrigley to its platform to make data-driven choices with real-time, researcher-driven insights. Furthermore, investments from distinguished VC companies like Sound Ventures, which have invested in OpenAI and Anthropic, have trusted Knit to grow to be a frontrunner within the researcher marketplace for world manufacturers.

“Knit’s progress displays its means to redefine how manufacturers perceive their clients by combining the rigor of conventional analysis with the velocity of AI,” stated Alexandra Burbey, Investor at Sound Ventures. “As AI turns into embedded in each workflow, Knit stands out by holding human perception on the heart.”

The capital will probably be used to speed up product improvement, together with new AI-powered options, and develop analysis use instances primarily based on market wants. Knit may even scale its go-to-market and analysis groups to assist its rising enterprise buyer base and develop its worldwide analysis capabilities.

“We’ve all the time needed to scale our analysis efforts, however doing that with out dropping management over high quality or consistency felt unattainable, till we began working with Knit,” stated Brooks Deaton, VP, Knowledge & Insights at NASCAR. “Now, we will run extra research, discover extra concepts, and assist extra groups throughout the org, all with out including headcount. Knit provides us the flexibleness to maneuver quick whereas staying grounded in rigor.”

Additionally Learn: C-Gen.AI Emerges from Stealth to Finish Infrastructure Limitations Affecting AI Workloads

Wanting forward, Knit is constant to speculate closely in new AI capabilities. The corporate can also be increasing its in-house analysis group to make sure each buyer is paired with a talented analysis associate on each venture.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]



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Knit Secures $16.1Million Sequence A to Redefine Enterprise Insights with Researcher-Pushed AI

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