Supply chain planners know the drill. A late shipment triggers a cascade of manual work: checking a dozen dashboards, drafting an email to the supplier, pinging a colleague in procurement, and updating a project tracker. It is coordination work, not strategic decision-making, and according to industry analysis, it can consume more than half of a planner's time [kinaxis.com]. For a new startup called nesen.ai, that is not a workflow to optimize. It is a layer of work to automate away.
The company, which describes itself as venture-backed, is building what it calls "the world's first AI supply chain coordination platform" [nesen.ai]. The bet is straightforward. By connecting to a company's existing operational stack, email, chat, ERP, and other sources of truth, an AI agent can track delegated tasks, detect risks like late shipments or quantity mismatches, and automatically execute follow-ups and escalations [nesen.ai]. The goal is to prevent a delay from becoming a missed commitment, a chargeback, or a breach of supplier trust. It is a pragmatic, if ambitious, attempt to insert an autonomous layer into the messy, human-driven communication fabric of global logistics.
The wedge into a manual process
nesen.ai's product focus is intentionally narrow. Its terms of service describe it as a tool that helps track purchase orders [nesen.ai Terms]. The platform is designed to handle tasks that do not require human judgment, such as monitoring order status, sending reminder messages, and flagging discrepancies for review [nesen.ai]. This is a classic wedge strategy. Instead of trying to replace the entire ERP or planning system, the AI acts as a connective tissue that sits on top of them, automating the tedious, repetitive coordination that happens between systems and people.
The value proposition hinges on a simple equation: reclaiming time. The company cites a figure that supply chain coordination takes, on average, 50% of a team's time [nesen.ai/about]. Freeing up even a fraction of that for higher-value work, like managing supplier relationships or resolving complex disruptions, could justify the software's cost. The initial use case, purchase order tracking, is a universal pain point with clear stakeholders, making it a logical beachhead for sales conversations.
A founder pairing built for enterprise sales
The company's prospects may hinge less on its technical specs and more on its founding team's ability to navigate enterprise procurement. The co-founders present a complementary blend of profile and pedigree.
Trisha Ballakur, the CEO, brings founder credibility and technical depth. She was previously co-founder and CEO of Pointz, a safety-focused urban bicycle mapping app, which earned her a spot on the Forbes 30 Under 30 list for Transportation & Mobility in 2025 [Forbes, 2025]. Her background includes engineering internships at firms like Adobe and Nasdaq, and she has spoken publicly about the transition from coder to CEO [LinkedIn] [InfoQ]. She represents the new generation of technical founders targeting complex industries.
Her co-founder, Steve Johnson, brings the operator-heavy resume needed to sell into large logistics and manufacturing organizations. His public profile lists him as a general partner at Seguin Ventures and claims a history of involvement in multiple exits and IPOs [LinkedIn]. More concretely, his career includes senior operating roles such as President and COO at Berkshire Grey, a robotics company, and executive positions at American Airlines Group and Avolta AG [Bloomberg Markets]. He was also an investor in an early round of Procurify, a procurement software company [TechCrunch, July 2015]. This background suggests a deep Rolodex in the exact sectors nesen.ai is targeting and an understanding of how large companies buy software.
| Founder | Role at nesen.ai | Key Relevant Background |
|---|---|---|
| Trisha Ballakur | Co-Founder & CEO | Co-Founder/CEO of Pointz; Forbes 30 Under 30 2025; technical founder experience. |
| Steve Johnson | Co-Founder & Chair | GP at Seguin Ventures; former President/COO at Berkshire Grey; former executive at American Airlines, Avolta. |
The unproven motion in a noisy field
For all its promise, nesen.ai is entering a field where ambition often outpaces deployment. The company is pre-launch and pre-revenue from a public reporting standpoint. There are no announced customers, case studies, or detailed pricing. Its self-described status as "venture-backed" is not accompanied by public details on the round size, valuation, or lead investor [nesen.ai/about]. This means the core enterprise motions, product validation, and sales cycle remain entirely unproven.
The competitive landscape is also taking shape. While nesen.ai may be first to market with its specific framing, it is not the only company looking to inject AI into supply chain workflows. More broadly, the company will eventually compete on two fronts:
- Incumbent augmentation. Large ERP vendors like SAP and Oracle, along with best-of-breed planning tools from Kinaxis and Blue Yonder, are aggressively adding AI capabilities to their own platforms. Their advantage is embedded access; their risk is innovation speed.
- New AI-native entrants. A crop of startups is applying agentic AI to specific operational verticals, from procurement (like Procurify) to logistics visibility. nesen.ai's differentiation will need to be a superior understanding of cross-tool coordination, not just task automation within a single system.
The company's most plausible answer to these challenges is its founding team's focus. Ballakur and Johnson are not building a general-purpose AI tool. They are building a very specific solution for a documented, expensive problem experienced by a well-defined buyer. That focus could help them cut through the noise.
Who will write the first check?
The ideal first customer for nesen.ai is not a Fortune 500 company with a decade-old SAP implementation. It is more likely a mid-market manufacturer, distributor, or retailer with a growing complexity of suppliers and a supply chain team that feels the pain of manual coordination acutely. This buyer has a mix of modern SaaS tools and legacy systems, creating the exact integration sprawl nesen.ai aims to coordinate. They have a procurement or supply chain operations manager who owns the budget for tools that improve team productivity and reduce risk. The initial sale will be a proof-of-concept pilot, priced to overcome the inertia of a new, unproven layer in the tech stack.
Looking ahead, the next twelve months will be about moving from stealth to evidence. Key milestones will be the public launch of the product, the announcement of a first paying customer, and, likely, a detailed funding round disclosure to signal market validation. For now, nesen.ai represents a clear thesis: that the most valuable AI in the enterprise won't just analyze data, but will actively work across the tools where business already happens.
Sources
- [nesen.ai] Meet the world's first AI supply chain coordination platform | https://nesen.ai/
- [nesen.ai/about] About - nesen | https://nesen.ai/about
- [nesen.ai Terms] Terms of Service | nesen.ai | https://nesen.ai/terms
- [kinaxis.com] Planners often spend more than 50% of their time manually sorting through dashboards |
- [LinkedIn, October 2026] Trisha Ballakur - Co-Founder and CEO @ nesen.ai | https://www.linkedin.com/in/trisha-ballakur/
- [Forbes, 2025] Transportation & Mobility - Forbes 30 Under 30 2025 | https://www.forbes.com/30-under-30/2025/transportation-mobility/
- [InfoQ] The Technical Founder's Path: Code, Leadership, and Balance | https://www.infoq.com/podcasts/code-leadership-balance/
- [LinkedIn] Steve Johnson - Co-Founder and Chair @ nesen.ai | https://www.linkedin.com/in/1stevejohnson
- [Bloomberg Markets] Steve Johnson executive profile |
- [TechCrunch, July 2015] Procurify raises $4M |
- [Bloomberg, 2022] 50 Innovative Startups in America | https://www.bloomberg.com/features/2022-opinion-50-states-50-startups/