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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 2, 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 complete funding, Knit delivers human and AI-powered insights to main enterprises together with Amazon, NASCAR, Mars Wrigley, and Extra time to make smarter, sooner data-powered selections

Knit, the AI-powered platform remodeling 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 buyers resembling 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 might be pushed by generative AI and human experience. Conventional analysis options like market analysis businesses usually present trade perception however will be sluggish and dear. In the meantime, new AI instruments promise pace and affordability, however ceaselessly lack depth and substance. Knit addresses these challenges by elevating, not changing, the researcher to ship high-quality insights on the tempo fashionable 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 crew of professional researchers works carefully with prospects to seize the nuance and context behind their analysis strategy, guaranteeing 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 circumstances resembling fast idea testing or strategic buyer segmentation. This human and AI strategy transforms analysis from a bottleneck right into a strategic benefit, serving to groups run extra research, uncover sharper insights, and make an even bigger impression, 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 know-how that really meets the wants of recent analysis groups. Their traction with a few of the world’s largest and most forward-thinking manufacturers, standout crew, and clear imaginative and prescient for the place this market is headed place them to guide the brand new period of enterprise insights.”

The increase follows a 12 months 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 resembling Amazon, NASCAR, Extra time, and Mars Wrigley to its platform to make data-driven selections with real-time, researcher-driven insights. Furthermore, investments from distinguished VC corporations like Sound Ventures, which have invested in OpenAI and Anthropic, have trusted Knit to turn out to be a frontrunner within the researcher marketplace for international manufacturers.

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

The capital shall be used to speed up product improvement, together with new AI-powered options, and develop analysis use circumstances based mostly on market wants. Knit may also scale its go-to-market and analysis groups to help its rising enterprise buyer base and develop its worldwide analysis capabilities.

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

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

Trying forward, Knit is continuous to take a position closely in new AI capabilities. The corporate can be increasing its in-house analysis crew 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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