![Collective[i]](https://storage.googleapis.com/simplify-imgs/companies/0aa7219b-3146-4c8b-b903-e2f89bca953d/logo.png)
Work Here?
Collective[i] uses AI and deep learning to help businesses improve B2B sales. Its tools analyze large data to automate tasks, reveal market shifts, support decision-making, and enhance the buying experience. Access is via subscription, with a strong emphasis on data privacy and multi-layered security to protect sensitive information. The company differentiates itself by combining actionable AI-driven insights with high standards for data security, transparency, and community-building in the B2B space. The goal is to help sales teams and business leaders grow revenue and navigate volatile markets more effectively.
Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
11-50
Company Stage
N/A
Total Funding
$1.3M
Headquarters
New York City, New York
Founded
2008
See people who can refer or advise you
Help us improve and share your feedback! Did you find this helpful?
Total Funding
$1.3M
Above
Industry Average
Funded Over
0 Rounds
365 Data Centers partners with Collective[i], leveraging AI to drive sales and increase revenue. Tl;dr. * AI-driven sales transformation: 365 Data Centers has entered a multi-year partnership with Collective[i], deploying its technology as a strategic intelligence layer to modernize its go-to-market operations and improve revenue predictability. * Automated operational intelligence: The platform replaces manual processes with automation by automatically capturing activity, centralizing deal collaboration, and identifying buyer-specific risks in real time. * Significant performance gains: The integration has led to consecutive quarters of above-plan performance, driving a 15% increase in win rates, a 35% reduction in sales cycles, and double-digit revenue growth within the first six months. 365 Data Centers is showing how AI can move beyond experimentation and into measurable business impact. In a new multi-year agreement with Collective[i], the company has transformed its commercial go-to-market operation, reporting improved win rates, shorter sales cycles, and stronger quarterly performance. Since deploying the platform, 365 Data Centers reports that win rates have increased by more than 15% and sales cycle length has decreased by 35%. Those gains helped support several consecutive quarters of above-plan performance, including record bookings in the fourth quarter of 2025 and continued outperformance in the first quarter of 2026. Embedding intelligence into sales. 365 is utilizing Collective[i]'s technology as a strategic intelligence layer across its revenue organization, replacing manual processes with automation and helping teams identify buyer-specific risks in real time. The platform also centralizes deal collaboration and captures activity automatically, which has strengthened its internal data and improved productivity. Derek Gillespie, CEO and CRO of 365 Data Centers, expressed in the announcement that the integration supports the company's broader commitment to data-driven inspection and AI enablement. Per Gillespie, the partnership has improved predictability and helped the company stay on track toward its long-term growth goals. Within the first quarter of deployment, 365 Data Centers reported a 20% increase in productivity and a 34% increase in its contact database. The company also saw impressive double-digit revenue growth within just six months of deployment. Industry implications & future outlook. The timing is notable for the data center industry, where operators are under pressure to improve speed, precision, and commercial execution while serving increasingly complex customer needs. 365 Data Centers is positioning AI not only as an infrastructure advantage, but also as a tool for improving sales performance and revenue operations. Together, the two companies offer a clear example of how AI can support growth across both technical and commercial functions.
True Story Films and Collective Studios announce 'Khana Dil Se', India's first ai-powered food show. ET Bureau Last Updated: Mar 25, 2026, 02:22:00 PM IST Collective Studios has partnered with True Story Films to launch Khana Dil Se - An AI Journey Through India's Kitchen, an episodic series that explores India's culinary heritage using artificial intelligence. Created by Hansal Mehta, the show marks his return to food storytelling decades after Khana Khazana. It features chef Shamsher Ahmed as culinary consultant, bringing expertise in regional cuisines. Collective Studios has partnered with True Story Films, founded by filmmaker Hansal Mehta and producer Sahil Saigal, to announce' Khana Dil Se '- An AI Journey Through India's Kitchen. The newly released teaser offers a first look at a distinctive episodic series exploring India's culinary heritage through the lens of artificial intelligence. For Mehta, Khana Dil Se marks a return to the terrain where he first made his mark. In the early 1990s, he created Khana Khazana, the pioneering cookery show that turned Chef Sanjeev Kapoor into a household name and changed the way India thought about food on screen. Three decades later, Mehta returns to food, this time with AI as his collaborator. Joining him in this new endeavour is Indian Master Chef Shamsher Ahmed, who comes on board as subject matter expert and culinary consultant. Ahmed's decades-long experience across Indian regional cuisines will lend authenticity and rigour to the series as it navigates the country's vast and varied food traditions. At its heart, 'Khana Dil Se' is a cultural exploration of India through its kitchens, tracing stories of migration, memory, and identity through recipes passed down across generations. What distinguishes the series is its use of AI, not just as a visual and imagination tool, but as a collaborator in the storytelling itself: helping trace culinary lineages, uncover regional influences, and follow the journeys of dishes as they have travelled and transformed across communities and centuries. Khana Dil Se reclaims food as a living cultural heritage. Speaking about the show, Hansal Mehta said, "Food is memory. When you cook something from another culture, you're not just following a recipe, you're stepping into a piece of someone else's life. A recipe carries within it an entire history: of land, of migration, of a grandmother's hands. These are probably humanity's most durable cultural documents, passed down through generations, across borders, surviving when almost nothing else does. That's what makes food such an honest way to look at people and who they really are. With Khana Dil Se, we want to use every tool available to us, including AI, to trace those stories before they disappear." Producer Sahil Saigal, a hotel management alumnus of Les Roches, Switzerland, and a restaurateur himself, added, "Khana Dil Se gave us a chance to ask what food television could look like if AI were part of the process - not replacing the human story, but helping us reach deeper into it. There are culinary traditions across India that have never been documented. This is our attempt to find them." Vijay Subramaniam, Founder and Group CEO of Collective Artists Network, said, "At Collective, we've always believed that storytelling evolves with the tools available to us. India's culinary traditions are among the richest cultural archives in the world, yet so many of these stories remain undocumented. Khana Dil Se brings together creators, filmmakers, and technologists to surface those stories in a way that hasn't been attempted before." Produced by True Story Films in collaboration with Collective Artists Network's Collective Studios, Khana Dil Se - An AI Journey Through India's Kitchen is a first-of-its-kind series that brings together culinary heritage and artificial intelligence to tell the story of India through its food.
Collective[i] has launched a new AI model for business and economic forecasting, securing $130 million in funding. The model uses deep neural networks and time-series modeling to analyze macroeconomic and microeconomic factors, enhancing demand forecasting and automating decision-making. It provides real-time insights to help businesses navigate market conditions. The advisory board includes experts like Dr. Kai-Fu Lee and Serena Williams. The model is accessible via applications, APIs, and workflows.
Collective[i], a recognized leader in AI-enabled digital sales transformation, announced the members of the Special Ops Leadership Council, a board designed to influence the evolution of the growing Special Ops community.
Find jobs on Simplify and start your career today
Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
11-50
Company Stage
N/A
Total Funding
$1.3M
Headquarters
New York City, New York
Founded
2008
Find jobs on Simplify and start your career today