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Floqeris an autonomous customer knowledge platform that provides business-to-business sales and marketing teams with an AI-powered database designed to continuously collect, organize, and update the information used to understand their customers. Floqer is pitching Wednesday on the Startup Battlefield stage atTechCrunch Disrupt 2026. The startup told TechCrunch ahead of the presentation that it plans to open-source the technology behind its autonomous customer knowledge database. It’s targeting early 2027 for the release, pending security reviews. Floqer also says it has surpassed $1.2 million in annual recurring revenue (ARR), and that its overall revenue has grown roughly tenfold over the past year. The startup was founded by Shivam Mahajan, the CEO, and Zaaheda Islam, who met at university. Before Floqer, Mahajan worked as a software engineer at Kyndryl, and Islam worked as a senior data scientist at Axis Capital. Floqer’s first product looked nothing like its current one. “We started with a Chrome extension, which is called ‘Super Chat,’” Mahajan told TechCrunch in an interview earlier this month. “Anybody can go and log in with their ChatGPT account and then understand [information] and take notes.” The founders soon noticed that enterprise companies were using the extension to clean up data in their customer relationship management (CRM) systems. Conversations with those companies showed that keeping CRM data clean was mostly manual work, with few established processes for keeping customer records up to date. “When we spoke with them, they told us that it’s super manual for them to clean their CRM data, and there were no established processes around that,” Mahajan said. “So that was insightful for us, and then we pivoted from there to build Floqer.” The problem Floqer is trying to solve is familiar to anyone who has worked in sales or revenue operations. Finding potential customers takes hours of searching Google, LinkedIn, company websites, job boards, and other sources to identify companies that fit a particular profile, then tracking down the right people and their contact information. Floqer aims to automate much of that research. Users can describe what they are looking for, and its AI agents search across different sources to build lists of relevant companies and contacts. The company says its system can enrich accounts, or add detail about the companies a sales team is targeting, using more than 100 third-party data sources. When it needs a verified email address or phone number, Floqer uses a “waterfall” approach, checking one data provider after another until it finds usable information. The system also continuously monitors the web for changes. If a prospect changes jobs, gets promoted, or works at a company that raises new funding, those updates can be reflected in the user’s customer records. Floqer describes the technology as a fleet of AI agents that continuously research companies, people, and customer interactions, so team members don’t have to perform that work manually. According to the company, customers have reported cutting prospecting time by as much as 70%. “Our autonomous customer knowledge database is only available to a limited audience, mostly due to how much demand our team can actually serve properly,” Mahajan said. “But open-sourcing it will help us fix that.” The decision comes partly in response to customer demand. Mahajan said some companies want to host their own data rather than keep it inside a vendor’s proprietary platform. Others want to modify the technology or build on top of it. “Our mission is to really enable every team to build their central source of growth,” Mahajan said. Before releasing the database publicly, Floqer is conducting security reviews because the database can contain sensitive customer information and large companies already use it. Floqer was founded in 2024 and has raised$2 millionin pre-seed funding, with participation from investors such as Perplexity’s F7 Fund, N49P, Tidal Venture Partners, and Perplexity co-founder Denis Yarats. It says it now has eight employees and more than 1,000 customers, including Perplexity, Wise, and AngelList.
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Many businesses around the world use consumer-facing chat apps like WhatsApp, Telegram, Discord, or iMessage to talk and coordinate with staff, and exchange documents or data. Guy Weiss is buildingZenzap, a private messenger with AI that wants to help companies communicate with their staff and arm them with their organization’s context while staying in line with IT and security rules. The company has raised $44 million in funding from investors including Bessemer, Lightspeed, and The Garage, as well as individual investors Wix president Nir Zohar and former GM of EY, Yoram Tietz. The fundraise is interesting because Weiss is raising money for the first time in his career. In 2012, he bootstrapped e-commerce marketing platform StuccoMedia, and sold it to Market Group in 2015. After that, he became an investor for a few years. In 2022, he founded Zenzap after meeting Bessemer partner Adam Fisher and noodling on different ideas along with his current co-founders Noam Neumann and Jonatan Bien. Weiss said he initially bootstrapped the app and worked out of Bessemer’s office. “I didn’t want to raise capital. The only thing I had to lose was my name, and I was super afraid to do a second round as a founder and become a failure, because my first round was very successful. I didn’t need to work for money. So, when I met Adam, I actually started my idea with my own capital,” he told TechCrunch. Weiss said Fisher convinced him that Zenzap should be a venture-backed business, as the company would need capital to scale. He said that the idea was to build a messaging app for a wide range of businesses, ranging from hospitality and construction, to healthcare and fast food. “You can’t use WhatsApp or iMessage within a workplace with the AI agent on top of it because it doesn’t comply with IT. So that’s off the table. You can’t implement Slack and Microsoft Teams because they were not built for this day-to-day use case for mobile-first that is meant for average users,” Weiss said. Zenzap offers usual chat features on its free tier, including group chats and direct messages, task management, calendar integration, and schedule management, as well as AI-powered voice chat and search. Organizations can pay for plans starting from $51 per month for up to 20 users to unlock voice and video calls, smart task sorting, task templates, and higher limits on file storage. The paid tier also lets you use the AI search across the workspace and turn messages into tasks. The company also offers AI agents for workflow automation as well as AI-aided voice note and call transcriptions. For these features, it has a credit-based pricing system. At the moment, Zenzap lists organizations like FedEx, Dollar General, Taco Bell, Starbucks, Casey’s, and Regal as clients. Weiss added that branches of fast food chains like IHOP and McDonald’s often coordinate shifts and talk about supply on its platform. “Each vertical has its own use case and workflows, which they self-serve with AI, but they all share something in common,” he said. The startup has 50 staff in the U.S., Tel Aviv, and Europe. In the near future, the company wants to hire in its product and R&D departments. Bessemer’s Fisher said Zenzap’s focus on catering to a broad range of people could work in its favor. He said that even the venture firm is using the messenger within its investment team to discuss and manage deal flows, showing that it can cater to different kinds of audiences. “The only work platform with any allegiance is Slack, and that’s almost entirely among the developer community. Zenzap is not focused on developers, but on the other 99% of employees using personal messaging apps and waiting for an agent of their own. People desperately want a clear separation of work from their personal lives, and the adoption of personal and work agents makes it imperative that separation happen now,” he told TechCrunch in an emailed statement.

The first day ofTechCrunch Disrupt 2026may have concluded, but there’s still plenty more Disrupt programming to come at San Francisco’s Moscone West on October 14 and 15. With just two days left in the event, we’re offering a discount to match:Get two full days of Disrupt for 50% off all ticket types, which makes it that much easier to catch some of our most captivating speakers and programming. For example,on the Disrupt Stage, we still have stellar speakers like A-list actor Mark Wahlberg, Replit’s CEO Amjad Masad, all five Benchmark partners in a rare joint appearance, Amazon’s Panos Panay, Bluesky’s CEO and COO Toni Schneider and Rose Wang …the list goes on. Plus, there aretwo flagship AI Stages, which will include OpenAI’s Head of Enterprise Product Alexander Embiricos, who will talk about the launch of the company’s Dots agents, along with leaders from Anthropic, Hugging Face, Clay, and more. That’s on top of the 320+ exhibitors showcasing their startups in the packed and revamped Expo Hall, the extensivebreakoutsand interactiveroundtable sessionsthat you can join, the networking opportunities, andSide Events happening across San Francisco. Plus, the Startup Battlefield 200 pitch competition is still going strong on the Disrupt Stage. For half the price,our ticket lineupis now offered at: And for more of an entry-level experience at Disrupt,we have three other options: Now is the time to act on this last-minute call to join Disrupt. If you’re a founder sitting on the fence and want to meet the investor who can secure the funding you need, make a connection with a potential co-founder, learn from those who have built before, or just broaden your community,this 50% discount is available right here. Don’t wait until there’s only one day left to join the excitement!
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Streaming platform Deezer remains steadfast in its intent to help users avoid listening to AI-generated music: The company on Tuesday said it is working on a new toggle that lets users filter out AI-generated music uploaded to its platform. The feature is expected to be available before the end of the year. Deezer said turning on the toggle will stop you from seeing AI-generated tracks, albums, and related artists in search results. “We’ve seen clear user demand for the ability to filter out AI-generated music, and we are now giving everyone the option to remove this content completely from their streaming experience on Deezer, and focus only on human creators and creations, if they wish,” Deezer CEO Alexis Lanternier said in a statement. He added that the explosion of AI music on the platform was one of the catalysts for the toggle-based features. The company citeda survey from last year,which noted that around 45% of Deezer customers wanted a way to remove AI music from their feeds. Deezer addedAI-detection tooling last yearand has been reporting on the number of tracks being uploaded to the platform ever since. At that time, AI-generatedtracks represented 10% of daily uploads. In July, the company said that more than 50% ofdaily uploads to its platform were AI-generated tracks, with an average of 90,000 tracks per day. Other music streaming services have also created their own policies in relation to AI music. Bandcamp hascompletely banned AI tracks,whileTidal cut off monetizationfor people uploading AI music. Spotify has taken a leaner stance, onlytagging AI tracks and artistsmore prominently on its platform. In August,Varietyreported that Apple Music was looking to label AI tracks by the end of the year. Besides platform-based tagging, users are also turning to independent tracking systems to identify AI music.
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As manufacturers across industries strive to reduce their reliance on Chinese suppliers, Indian startupScimplifyhas raised $25 million to expand its AI-powered approach to producing specialty chemicals and critical materials, with semiconductors, defense, and energy emerging as key growth markets. The all-equity strategic round was led by Hitachi Ventures, with customers Henkel and Teknor Apex joining as new investors. Existing backers Accel India, Bertelsmann India Investments, Omnivore, and 3one4 Capital also participated. The round values the Bengaluru-based startup at $250 million after the investment, according to a person familiar with the transaction, up from$150 millionafter a $40 million Series B round in March 2025. The latest investment brings Scimplify’s total equity funding to $80 million, the startup said, though it declined to disclose its valuation. The growing adoption of AI and advanced computational tools has accelerated materials discovery and research. However, turning promising chemistry into commercially available products at scale remains a slow and complex process. Manufacturers need to develop production processes, qualify facilities, and meet stringent quality standards, all while navigating supply chains limited to a handful of countries. Scimplify is seeking to shorten that process. In some cases, the startup, founded in 2023, has gone from receiving a customer’s requirements to delivering the finished material in just two months, compared with the 12 to 18 months such work would typically take, co-founder Sachin Santhosh (pictured above) said in an interview. Once it receives an order, Scimplify develops chemical manufacturing processes at its research facilities in Bengaluru and Hyderabad and then transfers them to partner factories for commercial production. Its proprietary AI platform, Scinode, helps coordinate the work by identifying suitable production routes and manufacturing facilities, while tracking quality and regulatory requirements. The platform uses specialized AI agents for different functions, including research, manufacturing, and quality control, Santhosh told TechCrunch. “Each of these agents is basically solving for what [a customer] would want, working backward from the customer’s requirement,” Santhosh said. “This helps us move a lot faster and remember customer context even for future references.” Scimplify’s in-house team of scientists and engineers oversees production across a network of more than 500 manufacturing facilities. It helps customers establish alternative sources for materials whose supply is concentrated in China and a few other countries. About 90% of Scimplify’s manufacturing currently takes place in India. The startup, however, plans to expand its production network to the U.S. and Japan over the next year as it seeks to attract more customers in both markets, Santhosh said. The U.S. has emerged as a key growth market, with Scimplify’s annualized revenue run rate in the country rising sixfold to about $60 million from $10 million a year ago, according to Santhosh. The market now accounts for roughly 30% of its business, while customers outside India collectively contribute more than half of its revenue, compared with less than 5% about 18 months ago. Overall, Scimplify, which serves more than 1,000 customers and has delivered products to more than 40 countries, has reached an annualized revenue run rate of about $200 million, tripling from a year earlier, Santhosh told TechCrunch. The startup is targeting a $400 million annualized revenue run rate over the next year. Scimplify has also been EBITDA-positive for the past two months and expects to turn profitable after tax this month, he said. Energy, electronics, and defense now account for about 45% to 50% of Scimplify’s revenue, up from less than 15% a year ago, Santhosh stated. The growth comes as AI fuels demand for materials used in electronics and energy infrastructure, while ongoing wars drive demand from the defense industry. Scimplify is working on producing tungsten derivatives from scrap, offering customers an alternative source of materials whose supply is heavily concentrated in China. The startup is also working on rare-earth materials, another category where global supply chains remain heavily dependent on China. The startup works with customers including Japanese electronics manufacturer TDK, German chemicals group BASF, and Hitachi. Santhosh cited a project involving TDK as an example of how the startup can shorten the time needed to develop and deliver specialty materials. Timelines, he said, vary depending on the project. With its latest funding, Scimplify plans to deploy around $7.5 million for its U.S. expansion, including building out its manufacturing network, Santhosh said, adding that the allocation could change as the startup’s plans evolve. It also earmarked another $2 million for further development of Scinode. The startup employs about 340 people, including roughly 70 scientists. Most of its workforce is based in India, though it also has local teams in the U.S., Japan, Indonesia, and the UAE.

The model is priced at ₹20 per 10,000 characters, a one-third reduction from the ₹30 charged for Bulbul V3.
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Scion cuts source control infrastructure requirements by 200 times as Anthropic rethinks code reviews, testing and merge queues for AI-generated code.
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The debt financing platform expects to support 150–170 D2Cr brands with an average financing ticket of ₹3 crore, targeting inventory purchases and expansion.
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Forward Deployed Engineer positions appear across technology companies, consulting firms, startups, and specialist AI businesses, according to Indeed.
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TCS will deploy its BaNCS Global Banking Platform to help MyState consolidate its banking systems, business processes, data repositories, and customer service systems.
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Engineers will work with client teams and Workday’s product staff to adapt agentic capabilities to enterprise workflows and inform future platform development.
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The Odisha State Data Centre (OSDC) will be established on the south campus of Dharanidhar University in the district.
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