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The Venture Codex

BootstrapLabs

44 Tehama Street, San Francisco, CA, 94105, USA

Overview

Founded in 2008, BootstrapLabs, an Ares company, is a leading Venture Capital firm based in Silicon Valley and focused on Applied Artificial Intelligence. BootstrapLabs was one of the first VC firms to build an AI-first investment strategy and seeks to invest in visionary founders who solve some of today’s most important and valuable opportunities by applying Artificial Intelligence. BootstrapLabs is often the first institutional money and acts as a lead investor in the early stages, with follow-on capital at the growth stages. Through our Venture Studios and Venture Capital funds, we are investing in Artificial Intelligence applied to The Future of Work (FoW)/Productivity, Mobility, Health, Financial Infrastructure, Digital Infrastructure, Energy/Climate, and AI-enabling technologies. As entrepreneurs ourselves, we know it takes an experienced team amplified by a nurturing community to build successful companies, so we stand by our founders in good times and bad times, because the road to success is paved with setbacks, challenges, and lessons learned from past failures – and building something big is hard. Ultimately we believe technology should always be used to create a positive impact on society, and that founders should always place fellow humans at the heart of their vision.

Total investments
21
Lead investments
8
Investments · 12mo
0
Active investors
8

Sector focus

  • Artificial Intelligence (AI)
  • Enterprise Software
  • FinTech
  • Venture Capital
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Investment portfolio

  • Looq AI

    Led · Seed · Feb 2024

    Looq AI develops the Looq platform, an AI-enabled digital twin solution paired with a proprietary “Q” camera system that enables rapid, survey-grade 3D capture of physical infrastructure. The company leverages a novel camera-based computer vision and AI approach (rather than lasers) to deliver over 100x higher spatial sampling rates and capture data in minutes. Field-captured imagery is processed by cloud image-to-model software to produce geo-referenced 3D digital twins, topographic maps, and AI semantic information for engineering and asset workflows. Looq targets utilities, surveyors, engineers, contractors, and asset owners facing urgent inspection, design, construction, and disaster-response needs. Early customers and partners cited in the article include AJS, McElhanney, and Aquawolf, which report faster, high-quality survey data and improved engineering workflows. The company launched the Looq platform at Distributech 2024, was established in 2021, and has raised $2.6M in a preferred seed round as part of $3.75M total funding to date.

  • Pryon

    Participated · Series B · Sep 2023

    Pryon develops a full-stack, AI-enhanced knowledge operating system that ingestsmultimodal content (audio, image, text, video) and offers chatbot or search-style interfaces to query an organization’s unstructured data. The platform emphasizes high accuracy, hyper-contextual and low-latency queries, providing extractive or retrieval-augmented generation outputs with citations anchored to source content. Pryon highlights no-code capabilities, purpose-built LLMs, OCR, proprietary connectors, and operational model selection to avoid hallucinations and protect sensitive information. The company touts rapid deployments (measured in days), energy-efficient compute and fast vectorization to support responsible AI and ESG goals. Pryon said the funding will be used to accelerate growth, augment its team, expand into international markets, and scale strategic partnerships. The company was founded in 2017 and is based in Raleigh, N.C.; it counts customers across energy, financials, government, healthcare, industrials, materials, technology, and utilities sectors. Pryon builds an AI-powered platform that transforms unstructured enterprise content into searchable, actionable knowledge using proprietary computer vision and natural language engines. The platform delivers information retrieval for question answering (IRQA) and enriches content to boost accuracy and speed. Pryon exposes APIs to expand the capabilities of existing AI assistants, chatbots, and IVR systems and offers a no-code approach to minimize operational disruption and accelerate time to value. Its technology targets improvements in workplace productivity, contact centers, and help desks by enabling dynamic conversation with previously static information. Recent leadership and board additions signal a go-to-market and growth focus, including the hiring of Chris Mahl as President and Chief Revenue Officer. The company also announced investor support via a recent equity financing filing, indicating continued investor confidence in its trajectory. Pryon develops an AI platform that connects employees to digital transformation, extending their ability to find and use knowledge, drive workflows, and make decisions from wherever they are. The company positions its technology as augmented intelligence that combines people and machines to maximize performance. Pryon says its platform increases employee productivity while reducing the complexity, cost, and duration of AI deployments. Led by CEO Igor Jablokov and based in Raleigh, N.C., Pryon targets enterprise deployments and Fortune 500 customers. The company plans to use new funding to further build its core product, grow its roster of Fortune 500 customers, and develop strategic partnerships. Financial metrics such as revenue or user counts were not disclosed in the article. Pryon is an enterprise AI and natural language processing company creating an Augmented Intelligence platform that combines the strengths of people and machines to power secure, natural-language and voice-based interactive agents for employees. The platform is designed to work across devices, improve worker productivity, optimize performance, increase engagement, and become more intelligent over time. The company is led by Founder and CEO Igor Jablokov and is driven by a team that designed and built core human-language technologies behind Amazon Alexa and IBM Watson. Pryon says it is already engaged with several Fortune 500 companies and has proofs of concept delivering value at leading communications, financial services, and logistics firms. The company came out of stealth alongside a $4.5 million seed financing and is privately held. Its stated near-term goal is to lead the Augmented Intelligence market, which it cites as currently valued at $3.5 billion.

  • Charm Solutions

    Led · Seed · Apr 2023

    Charm Solutions is a FinTech startup developing an AI-powered SMB Credit Advisor service that uses self-learning AI to convert data into actionable insights for institutional lenders and small businesses. Its platform provides AI-driven risk modeling tools for acquisition, underwriting, and portfolio management, and informs SMB entrepreneurs on critical financing decisions to reduce cost of capital and accelerate access to liquidity. The engine continuously monitors current and historical data, loan performance, and accounting from more than 1,200 institutions. The company recently announced a partnership with Abrigo to make CHARM Solutions available to lenders via Abrigo's SageWorks platform; Abrigo is backed by Accel-KKR and Carlyle. Led by CEO Jacob Malmborg, Charm intends to use the $3.5M Seed to expand operations and broaden its business reach. It maintains offices in San Francisco; Wilmington, Delaware; and Stockholm, Sweden.

  • Southie Autonomy

    Led · Seed · May 2022

    Southie Autonomy develops a no-code AI and augmented-reality platform that programs robotic arms for packaging, kitting, and palletization. Its software creates turnkey cells that can be configured within minutes, operate safely alongside workers, and are compatible with any robotic hardware. The platform automates highly variable contract packaging activities—using AI/AR to pick objects of varying shapes and sizes—enabling daily line changeovers without coding or engineering expertise. Southie currently has deployments with a handful of customers and operates a robot-as-a-service (RaaS) business model. The company is based in the MassRobotics collaboration space in Boston and was founded in 2018 by Rahul Chipalkatty and Jay M. Wong. Proceeds from the recent financing will accelerate customer acquisition, build a distribution partner network, and scale commercial and technical teams.

  • Rabot

    Participated · Seed · Mar 2022

    Rabot builds a platform for warehouse operational intelligence to augment workforces in high-speed, high-volume e-commerce environments. The company has developed a computer vision solution, Rabot Pack, to standardize and streamline the packing process and provide visibility into warehouse packing operations. Rabot Pack delivers real-time insights, accelerates quality-control processes, and helps reduce errors for clients. Rabot intends to use new funding to grow operations and ramp up deployments to new customers. The company was co-founded by Channa Ranatunga, Isura Ranatunga, and Sandeep Suresh. The article notes the company is based in Oakland, Calif.

Team

  • Nicolai Wadstrom

    CEO, Founder and General Partner

    LinkedIn
  • Benjamin Levy

    Co-Founder and General Partner

    LinkedIn
  • Lorenzo Donati

    Analyst, Deal Flow Manager

    LinkedIn
  • Peter Dinic

    Investor Relations

    LinkedIn