2025 in the rearview. Momenta 2025 in review thirteen years of consistent execution in 2025, momenta advanced new investments, portfolio growth, exits, and steady progress across industrial technology. Thirteen years in, the lesson remains unchanged: lasting industrial impact comes from disciplined, consistent execution, not short bursts of momentum. Rather than a snapshot of a single year, this review reflects a longer arc. It looks at how consistent execution, early co-creation with industrial partners, and hands-on operator involvement translate ambition into systems that run in real operating environments. It examines what moved forward in 2025, where progress required patience, and why durable industrial impact is built through repetition, discipline, and time. External recognition, including pitchbook's global top 10 manager performance ranking, reinforces what lps, founders, and operators experience firsthand: early engagement, deep industrial expertise, and hands-on operator support turn complex technologies into tangible outcomes. The work behind the numbers across our venture practice and digital industry funds, we invest early and stay involved. We back teams at the most challenging phase of industrial innovation: turning pilots into repeatable, revenue-generating deployments. Capital alone does not drive adoption: operator-led support and co-creation with customers and lps expose integration friction early, shorten learning cycles, and tighten the path from technical validation to production deployment. This discipline does not slow progress. It accelerates it once systems, ownership, and incentives are in place. Co-Creation: the trajectory to success industrial progress unfolds over years, not quarters. Early co-creation with industrial partners changes the slope of that journey by moving learning into real operating environments sooner. At momenta, co-creation is not an add-on; it is how we invest. From the first pilots, we work alongside founders and industrial partners to shape deployments, shorten feedback loops, and move technology into production. Overview.ai followed this path through early co-creation with advantech. Overview launched an edge AI vision inspection system combining advantech's industrial PC cameras with overview's deep-learning software, enabling automated quality inspection directly on production lines. The joint solution is consistently presented as a scalable, production-ready vision AI offering within advantech's edge AI ecosystem. Edge impulse began industrial pilots with advantech shortly after its founding, using early operational feedback to accelerate learning and execution. This co-created trajectory led to its acquisition by qualcomm within six years. DataHow is advancing along a similar path, piloting causal AI with rockwell automation in live industrial environments focused on learning, performance, and operational fit luffy AI is also progressing through co-creation, embedding adaptive AI into industrial control systems with early integrations focused on real-world validation, safety readiness, and system-level performance. This is where momenta differs from traditional venture capital: co-creation with industrial partners is not a phase. It is the operating model. Portfolio performance results you can measure in 2025, portfolio progress showed up in three areas. Enterprise adoption and scale companies moved from pilots into live operations, delivering measurable cost, efficiency, and emissions improvements across real industrial environments. * SMARTEX.AI partnered with ITA group to reduce textile waste at scale * axiom cloud delivered $158K in savings and reduced CO[2] by 295 tons across 100 stores. * wastehero launched newways(tm) and ranked among denmark's fastest-growing startups. Industrial AI and platform maturity teams moved from experimental AI to hardened platforms, strengthening security, deepening integration, and preparing for enterprise scale. * litmus delivered next-generation edge AI with gpu-accelerated on-prem llms * xage security launched zero trust for AI with NVIDIA bluefield * highbyte achieved ISO 27001 and expanded cloud and AI integrations strategic validation and recognition customer growth, strategic investment, and recognition from respected industry organizations validated execution at scale. * AMESA was named a gartner cool vendor * highbyte ranked in the top 5% of the 2025 inc. 5000 * inskill won the frost & sullivan 2025 award and launched its gen-3 agentic AI engine together, these signals reflect sustained execution rather than isolated wins. What we learned in 2025 five lessons defined the year and reaffirmed convictions we have held for more than a decade: * pilots do not prove value. Progress starts when technology operates under real-world conditions, not in controlled pilots. * co-creation accelerates learning. Early work with lps and customers surfaces integration friction sooner and shortens the path from pilot to deployment. * integration beats features. Adoption depends on fit with existing stacks and workflows, not feature lists. * staying involved changes outcomes. Early capital paired with hands-on operator support improves the trajectory from concept to production. * industrial timelines reward patience. Durable outcomes compound over years, not quarters. These lessons shaped 2025 and will guide how momenta invests, co-creates, and scales with founders and industrial partners in 2026 and beyond. Get in touch if you want to explore what disciplined execution looks like inside your organization.

Overview Advanced GenAI Tools platform: the future of visual inspection. The Advanced GenAI Tools platform dashboard with access to all three tools Manufacturing visual inspection is entering a new era. While traditional AI vision systems have transformed quality control over the past decade, the next wave of innovation is about empowering teams with intelligent tools that make AI more accessible, more powerful, and more adaptable than ever before. Today, Overview Corporation is excited to introduce the Overview Advanced GenAI Tools platform, a comprehensive suite of GenAI-powered tools designed to revolutionize how manufacturers build, train, and deploy vision inspection systems. What is the Advanced GenAI Tools platform? The Advanced GenAI Tools platform is a supporting ecosystem that sits alongside your Overview AI inspection cameras. It provides three powerful capabilities that address the biggest challenges in visual inspection deployment: Your own personal Node-RED instance with AI that writes, modifies, and explains inspection workflows. Five modes for generating synthetic training data: single annotation, batch random, defect transfer, style transfer, and text variation for OCR. 24/7 AI assistant for documentation questions, workflow guidance, and application consultation. Why Overview Corporation built this platform. After years of deploying AI vision systems across manufacturing facilities worldwide, Overview Corporation identified three recurring challenges that even the best hardware could not solve alone: The three challenges: * Workflow Complexity: Building Node-RED flows for inspection logic requires specialized knowledge. Teams often wait for integrators or struggle through documentation. * Training Data Scarcity: Rare defects are hard to train because you simply do not have enough examples. Waiting for defects to occur naturally slows deployment. * Knowledge Gaps: Quality engineers know their products but may not know AI best practices. Getting answers to implementation questions takes time. The Advanced GenAI Tools platform solves each of these challenges with purpose-built AI tools that your team can use independently, without external support. Tool 1: OV auto-integration builder. Node-RED is the backbone of inspection logic in Overview systems. It handles everything from triggering inspections to processing results and communicating with PLCs. But writing flows has traditionally required programming knowledge. Its OV auto-integration builder changes this completely. Simply describe what you need in plain english, and the AI writes the flow for you. It can also modify existing flows, explain how they work, and identify potential issues. Tool 2: OV auto-defect creator studio. Training accurate defect detection models requires examples of defects. But what if the defect you need to detect is rare? What if you are setting up inspection for a new product line and have no defect history? The OV auto-defect creator studio creates realistic synthetic defect images using five specialized modes: single image annotation for precise placement, batch random generation for volume, defect transfer for recreating similar defects, style transfer for seeing defects across product variants, and text variation for generating OCR training data. Tool 3: OV AI expert helper. Getting answers to implementation questions traditionally meant searching documentation, contacting support, or waiting for integrator availability. The OV AI expert helper provides instant, expert-level assistance. Ask questions about Overview AI features, get help building Node-RED workflows step by step, or receive personalized recommendations for your specific manufacturing application. The bot is trained on its complete knowledge base and available 24/7. Key benefits for manufacturing teams. Faster deployment. What used to take weeks of workflow development and data collection can now happen in days or hours. Reduced dependency. Your team can solve problems independently without waiting for integrators or external support. Better models. Synthetic defect generation means more training data, which means more accurate detection models. Knowledge transfer. The AI Bot helps train new team members and preserves institutional knowledge about your inspection systems. How to get access. The Advanced GenAI Tools platform is available to Overview AI customers. Access is provided upon request to ensure proper onboarding and support for each deployment. * Visit the Advanced GenAI Tools page * Click "Gain Access" and fill out the request form * Its team will review your request and provide credentials * Schedule an optional onboarding session to get started The future of manufacturing AI. The Advanced GenAI Tools platform represents a fundamental shift in how manufacturers interact with AI technology. Instead of treating AI as a black box that requires specialists to configure, Overview Corporation is putting powerful GenAI capabilities directly in the hands of quality engineers and production teams. This democratization of AI tools means faster problem-solving, more agile responses to quality issues, and ultimately better products reaching your customers. Ready to transform your visual inspection? Discover how the Advanced GenAI Tools platform can accelerate your quality control initiatives. Visit the Advanced GenAI Tools page to request access and get started.