Participated · Series B · Feb 2026

Code Metal delivers a neuro-symbolic platform that translates, optimizes, and mathematically proves the correctness of AI-generated and legacy code across any hardware environment. Its technology is already deployed by customers including Toshiba, RTX, L3Harris, and the U.S. Air Force, enabling them to port software between programming languages and onto specialized edge devices while meeting strict compliance, safety, and performance requirements. The company positions itself as “load-bearing infrastructure” for trusted AI code and has achieved rapid adoption, becoming one of the fastest-growing defense technology firms by revenue growth, contract scale, and customer uptake. To meet demand, Code Metal plans to expand engineering capacity, accelerate product development, and deepen commercial and government partnerships. The firm recently hired Ryan Aytay, former Tableau CEO, as President and COO to scale operations and go-to-market execution. Following its latest raise, Code Metal is valued at $1.25 billion, underscoring strong investor confidence just months after closing its Series A. No specific revenue figures were disclosed, but the company’s momentum in winning programs of record across top-tier government and enterprise users highlights robust financial traction.

Led · Series B · Feb 2026

Gather AI offers a vision-based platform that equips off-the-shelf drones and strategically mounted cameras to scan barcodes, lot codes, expiration dates, damages, occupancy and other metrics across warehouse shelves. The system relies on classical Bayesian techniques combined with neural networks to create "curious" robots that decide what to inspect next, avoiding the hallucination issues seen in large language models. Data is fed directly into warehouse management systems so operators can detect low inventory, misplaced stock and safety risks, even in harsh environments like freezers. The technology stems from Carnegie Mellon University research where the founders built some of the first autonomous helicopters, positioning the company within the emerging "embodied AI" category. Customers include Kwik Trip, Axon, GEODIS and NFI Industries, and the team has grown to about 60 employees. To date, Gather AI has secured $74 million in venture funding that will be used to scale commercial deployments and enhance its product capabilities.

Led · Series D · May 2025

Bestow builds enterprise SaaS and underwriting software to help life insurers become more digital and more efficiently serve customers. Founded in 2017 and based in Dallas, the company originally operated as a direct-to-consumer insurer and processed over a million applications before pivoting in 2024. In 2024 Bestow sold its insurance carrier and consumer business to Sammons Financial Group and shifted focus to providing software and services to other life insurers. Its revenue model is enterprise SaaS and performance-based, with the bulk of revenue coming from usage fees; Bestow reported ARR grew 3x in 2024 and 10x over the past two years. The company has 167 employees and is considering international expansion while planning to launch new products and underwriting capabilities with proceeds from its recent financing. Bestow's customers include Nationwide, Transamerica, USAA, Sammons Financial Group, and Equitable. Bestow operates a full-stack digital life insurance platform that allows consumers to obtain coverage in minutes rather than months. The company has launched platform products including Protect API™ and sells through insurtech, carrier, fintech and partner channels. Leadership includes co-founders Melbourne O’Banion (CEO) and Jonathan Abelmann (President). Operating momentum cited by the company includes sales rising more than 450% year-over-year and the acquisition of a nationally-licensed carrier. Bestow has invested in growth initiatives and expanded distribution by moving into fintech and independent agent channels and hiring over 70 new team members. Senior hires added during the year include Chief Distribution Officer Steve Robinson, CFO Claire Martin, CTO Chris Copeland, Chief Underwriter Jennifer Richards, Head of People Lizette Fleher and Head of Product Adam Boender. The company intends to use new capital to launch innovative products, scale platform services, and accelerate growth into new distribution channels and partnerships in 2021. Bestow is a Dallas- and Austin-based fully digital life insurance platform that builds products and software to make life insurance more accessible. The company operates a direct-to-consumer arm and provides APIs that enable partners to offer bespoke life insurance coverage to their customers. Bestow closed a $50M Series B financing led by Valar Ventures, with participation from current investors NEA, Morpheus Ventures and Core Innovation Capital, and new investor Sammons Financial. The company intends to use the funds to expand nationally. Led by co-founders Melbourne O’Banion (CEO) and Jonathan Abelmann (President), Bestow also launched the Bestow Foundation, a 501(c)(3) nonprofit created to assist those most in need during a crisis or disaster. The foundation's first project is to help combat COVID-19 by donating to the CDC Foundation on behalf of current and new Bestow policyholders. Bestow is a Dallas, TX-based consumer life insurance company that leverages a proprietary algorithmic underwriting engine to instantly determine risk. Its platform gives consumers immediate access to comprehensive life insurance without working with an agent, lengthy applications, or medical exams. Led by CEO Melbourne O’Banion, Bestow is currently live in Texas and Utah. The company closed a $15M Series A, bringing total financing to more than $18M to date. The round was led by Valar Ventures with participation from existing investors New Enterprise Associates (NEA), Core Innovation Capital, 8VC and Morpheus Ventures. Bestow plans to use the funds to expand operations, development and business growth and aims to be available nationwide this year. Bestow is a tech-driven startup building an on-demand life-insurance service that streamlines underwriting using algorithms so customers can get policies without physicals or lengthy paperwork. The company replaces individualized physical exams with algorithmic probability matching and lets users complete the process over the phone. Bestow has not yet launched and plans to roll out its first product in the coming months. The startup raised $2.5M in seed funding, bringing its total cash to $3.1M. Founded by Melbourne O’Banion and Jonathan Abelmann, Bestow is targeting Americans who believe they need life insurance but haven’t purchased it (the article cites 44% in that segment; industry trackers note ~85% say they should have a policy while ~41% actually do). The company enters a competitive field that includes Mira Financial, Alan, Fabric, and Quilt.

Led · Series B · Jan 2025

Prophecy is an AI-powered data copilot that offers a visual designer which generates standardized, open code to extract, transform and deliver structured and unstructured data across on-premises and cloud sources. Its platform automatically builds data pipelines and tests, generates documentation and suggests fixes, enabling data engineers and business users to develop, deploy and observe pipelines on cloud data platforms. Customers include Fortune 500 enterprises such as Amgen, HSBC and JPMorgan Chase, and the company supports tens of thousands of production pipelines delivering large volumes of data for AI and analytics. Prophecy helps organizations modernize, migrate and consolidate pipelines from legacy tools including Ab Initio, Alteryx, DataStage and Informatica. Financially, the company reported 3.5X revenue growth in FY'24 and 160% net revenue retention from existing customers. The company plans to use new capital to accelerate its roadmap and scale to serve more customers amid surging enterprise demand for AI and analytics. Prophecy offers a visual, low-code development platform (with code) for building reliable data-transformation pipelines, reusable "packages," and outputs in PySpark, Scala or SQL. The platform is available as a fully managed cloud service or on-premises and includes Data Copilot, an LLM-powered tool that generates pipelines from natural-language prompts. Prophecy aims to enable self-service data transformation for non-coding data teams while avoiding vendor lock-in by producing open-source code. The company plans to use new funding to scale the Prophecy platform and accelerate customer acquisition. Prophecy reports rapid commercial traction: around 100 employees, "thousands" of users across multiple Fortune 500 customers, and license deals that typically start in the hundreds of thousands, with some exceeding $1M. Management says revenue has grown 400% year‑over‑year since its Series A and that the business is doubling revenue every two quarters. Prophecy provides a low-code environment for data engineering that lets users seamlessly switch between a visual interface and a code editor, with changes reflected on both sides. The platform generates Apache Spark code and executes workflows through its Airflow service. Prophecy also built a transpiler to modernize legacy ETL pipelines and help enterprises migrate pipelines to the cloud. The company has partnered with Databricks and counts multiple Fortune 500 and Fortune 50 customers among its users. Prophecy plans to use recent funding to polish the product, expand go-to-market efforts, and continue building out its full-stack data engineering platform. Its co-founder emphasizes helping large enterprises move massive on-premises data engineering footprints into the cloud. Prophecy.io offers a SaaS low-code data engineering platform for data practitioners. The product combines visual drag-and-drop development with code on git, tests, continuous integration, and deployment to production. It provides column-level lineage that enables users to track every value from source systems to final analytics. CEO Raj Bains has launched a new SaaS version of the platform. The SaaS release will initially run on Databricks across AWS, Azure, and GCP and will later be expanded to other Spark providers. The company already counts several Fortune 500 customers for its enterprise product.

Led · Series B · Oct 2024

Neuron7 provides an AI-powered resolution hub that consumes product repair manuals, support tickets and other service records to predict root causes, surface likely fixes and guide technicians through step-by-step repairs. The product uses open-source language models such as Llama and Mistral to analyze millions of work order cases and surface historically effective repair steps. Its customers include NCR Atleos, Medtronic and Lexmark, and deployments are targeted at large enterprise service and repair workflows. Neuron7 has partnered with major incumbents — Salesforce, SAP, Microsoft and ServiceNow — and ServiceNow’s corporate VC arm is also an investor. The company reports 65 full-time employees, 300% ARR growth last year, roughly 6,000–7,000 users and sales behavior where customers tend to double spending 16–18 months after adoption. Financially, Neuron7 has raised just over $63 million to date, including a $10 million Series A in 2022 and the recent Series B. Neuron7 provides AI-generated resolution intelligence to help complex service organizations resolve issues faster at scale. Its Resolution Intelligence product, now available on the ServiceNow Store, guides teams step-by-step through optimal resolutions across ITSM, CSM, and FSM workflows via a Smart Resolution Repository. Neuron7 blends knowledge from data and people to capture expertise, optimize resolution paths in real time, and deliver purpose-built AI for medical devices, high-tech devices, and industrial equipment. The company announced Gen AI Labs, a skunkworks effort to integrate bleeding-edge algorithms and large language models into new use cases and products. ServiceNow made a strategic investment through ServiceNow Ventures to bolster product development, Gen AI Labs, and market expansion. Neuron7 tripled ARR in 2023 while adding top-tier enterprise customers, indicating strong growth and adoption. Launched in 2020 by Vinay Saini and Niken Patel, Neuron7 uses natural language processing to analyze metadata from knowledge bases, product documentation, support call logs and transcripts to create a “collective intelligence” that guides step-by-step problem resolution. The platform integrates with existing systems like Salesforce Service Cloud, ServiceNow and Microsoft Dynamics 365 and also monitors data streams from connected devices to inform recommendations. Neuron7 positions itself to power both agent-facing tools and customer/employee self-service portals, and claims algorithmic innovations as a differentiator versus incumbents. The company named Sofftek as a customer but did not disclose total customer count. Neuron7 has a 20-person team and plans to use the new funding to drive client acquisition and expand go-to-market and product headcount. The product is pitched as a response to labor shortages and high turnover in customer service, aiming to make new hires as productive as experts. Neuron7.ai develops a cloud-based, AI-driven service intelligence platform that analyzes structured and unstructured enterprise signals—CRM data, technician notes, knowledge-base content, product manuals, device data and Slack messages—to deliver predictions like root causes and resolution paths at scale. The platform captures the expertise of top technicians through closed-loop learning to improve accuracy across Tier 1 service centers, repair, and field technicians. In stealth, Neuron7.ai tested its product with multiple Fortune 1000 companies and reported excellent results across industry datasets. The company is led by repeat entrepreneurs Niken Patel and Vinay Saini and is headquartered in San Jose, Calif. Neuron7.ai plans to use its new seed funding to expand engineering, product, and sales teams and pursue industry-specific deployments. Its stated vision is to become a Service Intelligence system of record as industries shift toward outcome-as-a-service models.