TechCrunch Disrupt Startup Battlefield: 32 Enterprise Tech Startups to Watch

Each year, the Startup Battlefield pitch contest spotlights a wave of new companies trying to break into the enterprise. Thousands apply, a smaller group is selected as “Startup Battlefield 200,” and only 20 ultimately pitch on the main stage for the Startup Battlefield Cup and a $100,000 cash prize. Still, the broader cohort includes a deep bench of enterprise-focused builders tackling everything from AI reliability and privacy compliance to sales, HR, and IT operations.

Below is an editor-friendly roundup of the enterprise tech Startup Battlefield 200 selectees highlighted in the source report, with what each company does and the specific detail that stood out about why it made the cut. Official links included in the original report are preserved.

Enterprise tech: The 32 startups selected from Startup Battlefield 200

AI Seer

What it does: Builds systems that use multiple forms of AI to uncover “untruths” and authenticate information.
Why it’s noteworthy: The company has more than one product in market, including an AI-powered real-time fact-checker and a device positioned as a next-generation polygraph aimed at determining whether information is authentic.

Atlantix Portal

What it does: A platform designed to help aspiring startup founders identify ideas and assemble business plans.
Why it’s noteworthy: It is built on a searchable database of more than 6,000 university-research innovations and provides examples spanning pitches through launch materials.

Billow AI

What it does: AI tools for financial operations focused on automating manual workflows.
Why it’s noteworthy: Billow layers multiple AI approaches beyond LLMs into finance operations, including voice technology.

Blok

What it does: Lets product development teams run user testing with synthetic users—AI agents meant to represent their user base.
Why it’s noteworthy: The pitch is not only automation, but AI-generated guidance for product decisions that aims to be faster than classic approaches like A/B tests or feedback surveys.

Breakout

What it does: An in-bound sales development representative product: an AI agent that helps people visiting a website.
Why it’s noteworthy: Breakout is aimed at turning generic, one-size-fits-all websites into personalized experiences that can answer questions, make recommendations, and complete tasks interactively.

Cashew Research

What it does: A platform designed to simplify marketing research work, including running surveys.
Why it’s noteworthy: The company emphasizes surveying proprietary customer panels of real humans rather than relying on AI synthetic data.

CODA

What it does: AI avatars that help the deaf community by translating spoken and written language into sign language.
Why it’s noteworthy: CODA applies advanced machine learning to accessibility for the hard of hearing.

Collabwriting

What it does: A web-highlighting tool for saving and annotating content across apps, then collaborating on those insights with others.
Why it’s noteworthy: Positioned as an AI-era bookmarking layer, including AI features such as fact-checking and “knowledge triggers” that resurface saved information when you ask for it or need it.

Dextego

What it does: AI agents that act like coaches to help employees improve their skills.
Why it’s noteworthy: Dextego applies behavioral intelligence data to build coaches for use cases including leadership, sales, motivation, and role-playing.

Dobs AI

What it does: AI agents that can work through large volumes of unstructured documents to extract information or generate analytics.
Why it’s noteworthy: The system integrates with enterprise data sources while keeping data—and control—inside the enterprise environment, rather than sharing it with third parties such as LLM model makers.

Elloe AI

What it does: Targets the AI hallucination problem via real-time fact-checking of AI outputs.
Why it’s noteworthy: Described as an “AI auditor,” it uses machine learning but not the same LLM models it is intended to safeguard against.

Elroi

What it does: A platform for managing user permissions and providing privacy-compliant datasets for AI training.
Why it’s noteworthy: It addresses the complexity and constant changes of privacy regulations by focusing on user-consented datasets.

Etiq AI

What it does: A data science AI copilot that connects to data sources to support AI code generation and agentic workflows.
Why it’s noteworthy: The product emphasizes data context—similar to how a data scientist thinks—aiming to improve accuracy and reduce hallucinations.

GRAVL

What it does: A storefront platform for core research facilities.
Why it’s noteworthy: Framed as a Shopify-like approach for science facilities that may have innovations to license but need web and back-office IT to do so.

Hypercubic

What it does: Captures institutional knowledge around aging mainframe applications.
Why it’s noteworthy: With many enterprises still dependent on mainframes and legacy code, Hypercubic uses AI for tasks such as debugging and documenting that code.

JustAI

What it does: AI agents for marketing tasks.
Why it’s noteworthy: The company says its agents can run marketing end to end—from building a plan to analyzing results.

KrosAI

What it does: Voice AI agents, including phone number provisioning, tailored to emerging markets.
Why it’s noteworthy: KrosAI claims ultra-low-latency voice AI agents available across about 50 emerging-market countries, with use cases such as call centers.

Libertify

What it does: Converts written documents into interactive videos via an AI platform.
Why it’s noteworthy: The company says it can turn a PowerPoint or PDF into an interactive experience where the document can explain itself or answer questions, while keeping the document and its data secure.

Maisa

What it does: Runs enterprise AI agents positioned as digital co-workers.
Why it’s noteworthy: Designed for complex processes and built to generate fully auditable trails to verify the agent’s work.

Mappa

What it does: A recruiting platform that incorporates behavioral voice analysis.
Why it’s noteworthy: Mappa trained an AI model to analyze voice patterns associated with traits employers may want, including communication style, empathy, and confidence.

mAy-I

What it does: AI technology for retailers and other foot-traffic businesses to capture information about visitors.
Why it’s noteworthy: Using computer vision, it aims to deliver in-person venues the kind of customer data e-commerce sites typically have, such as gender, age group, and the customer journey through a physical space.

Mendo

What it does: A tool to help train employees on how to use generative AI at work.
Why it’s noteworthy: It highlights ideal uses for a company’s AI and enables employees to share time-saving tips so usage can evolve without leaving anyone behind.

Nimblemind

What it does: Helps healthcare organizations prepare clinical data so it can be used with AI.
Why it’s noteworthy: Nimblemind focuses on structuring, labeling, and managing multimodal health data with automation, audit trails, and APIs, aiming for a faster and safer workflow.

Plurall AI

What it does: Proprietary technology for detecting multimodal deepfakes.
Why it’s noteworthy: The deepfake detection approach was designed from the ground up rather than added on top of a state-of-the-art model maker.

PRVIEW

What it does: A platform for PR professionals that automates tracking of speaking and awards programs for clients.
Why it’s noteworthy: It’s intended to replace manual spreadsheet-based tracking of programs that can become major PR opportunities.

Rayda

What it does: Helps IT teams equip remote workers across more than 170 countries.
Why it’s noteworthy: Beyond configuration and shipping, it tracks devices and supports offboarding and device recycling on a global basis.

Sponstar

What it does: Helps marketers turn an event or city into a treasure hunt.
Why it’s noteworthy: It aims to make it simple for brands to build quests and rewards, including Pokémon Go–style experiences.

Unthread

What it does: A help desk built to integrate directly with Slack conversations, rather than adding Slack chat as an afterthought.
Why it’s noteworthy: By monitoring Slack, Unthread positions itself as a way to identify issues that slow teams down and address them before they grow into bigger problems.

Visualsyn

What it does: A platform for businesses to create, edit, and publish immersive 3D and XR content on the web.
Why it’s noteworthy: It supports capturing immersive video with a mobile device and uses on-device AI processing.

WeShop AI

What it does: An AI video agent that generates professional product photos from a prompt.
Why it’s noteworthy: The company promises e-commerce sites and influencers can upload a product photo, type a prompt, and produce an AI-generated image with photo-shoot-quality results.

ZETIC.ai

What it does: A developer tool for deploying real-time AI directly on users’ devices.
Why it’s noteworthy: It’s framed as an alternative to cloud-based AI, enabling app makers to separate user growth from rapidly rising AI cloud costs.

Zinnia

What it does: An AI-powered platform that gathers data and assists salespeople.
Why it’s noteworthy: The source report lists Zinnia among the enterprise tech selectees and describes it as focused on collecting data and supporting sales work.

What these Startup Battlefield enterprise picks signal about the market

Across the list, a few themes stand out in how enterprise tech is evolving:

AI trust, verification, and misuse defenses are becoming products. Startups such as AI Seer, Elloe AI, and Plurall AI underscore the need to validate outputs and detect manipulated media as AI becomes embedded in workflows.
“AI agents” are being aimed at specific business functions. Several companies target well-defined operational bottlenecks—sales (Breakout, Zinnia), marketing (JustAI), data work (Etiq AI), and document-heavy processes (Dobs AI, Libertify).
Privacy and governance are moving upstream into training data and permissions. Elroi’s focus on user-consented datasets reflects a broader enterprise shift: AI adoption often hinges on compliance, auditability, and data-control guarantees.
Enterprise infrastructure still includes legacy systems. Hypercubic’s mainframe knowledge capture is a reminder that modernization is rarely a clean break; many organizations need tools to document, debug, and preserve institutional knowledge around long-running systems.
Distributed work keeps driving global IT logistics. Rayda’s emphasis on equipping remote employees in 170+ countries points to the operational reality of cross-border hiring and device lifecycle management.

Conclusion

The enterprise tech Startup Battlefield 200 selectees highlighted here span a wide range—from deepfake detection and AI auditing to HR voice analysis and on-device AI deployment—yet they share a common goal: making modern enterprise operations faster, safer, and more measurable as AI reshapes how teams work.

This article is based on reporting originally published by TechCrunch.

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Based on reporting originally published by TechCrunch. See the sources section below.

Enterprise tech: The 32 startups selected from Startup Battlefield 200

What these Startup Battlefield enterprise picks signal about the market

Conclusion

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Sources

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