explainable-ai
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The Houston Company That Puts a Number on How Wrong It Was
Most forecasters bury their misses. Complete Intelligence, an eight-person Houston shop, prints its own error rate next to every prediction - and built a business on the discomfort that creates.
Inscribe's $38 Million Lesson for AI Builders: Start With the Messy Queue, Not the Model
The fintech front door looked instant. Behind it sat a queue of people checking PDFs by hand. Inscribe built a business in that queue - then had to rebuild itself when higher rates and generative AI changed both its customers and the fraud it was chasing.
The Tiny Clues SEON Uses to Catch a $300 Billion Problem
Fraud rarely arrives wearing a name tag. SEON turns more than 900 digital, device and behavioral signals into decisions that risk teams can inspect, tune and act on in real time.
StarCompliance
StarCompliance built the software that a million financial-services employees answer to before they trade. Twenty-five years in, it is betting that the next compliance headache is crypto - and that explainable AI can settle the argument.
Equifax
Most people meet Equifax as a credit score. Its larger business is the invisible machinery that helps decide who gets a mortgage, a job, a benefit or a second look - rebuilt on a $3 billion cloud platform and shadowed by the breach that changed the company.
FinbotsAI
FinbotsAI is a Singapore-headquartered fintech that builds AI-powered credit risk software for banks and lenders. Its flagship no-code platform, CreditX, lets risk teams create, validate and deploy custom credit scorecards in about a day instead of the industry-standard nine to twelve months. Founded in 2017 and backed by a US$3M Series A from Accel, the company serves lenders across roughly a dozen markets in Asia and MENA, and was among the first fintech solutions worldwide to complete Singapore's MAS Veritas and AI Verify governance frameworks.
RDC.AI
RDC.AI (formerly Rich Data Co) is a Sydney-founded software company that builds an explainable AI decisioning platform for business and commercial lenders. Its cloud-native platform ingests transactional and alternative data to help banks originate, assess, monitor and manage loans faster and more transparently, producing a reason code for every decision so lenders can satisfy fair-lending and regulatory obligations. Backed by Westpac, nCino and Acorn Capital through a A$37m Series B, RDC.AI counts institutions such as M&T Bank, Westpac and BNZ among its customers and is expanding into North America.
X0PA AI
X0PA AI is a Singapore-based HR technology company that builds an AI-powered talent acquisition platform to make hiring more objective, faster and less biased. Founded in 2017 by serial entrepreneur Nina Alag Suri, the SaaS platform uses machine learning, predictive analytics and natural language processing to source, screen, score and rank candidates for enterprises, governments and universities. It has since expanded into an agentic AI suite of named hiring agents and positions itself around responsible, explainable AI, having become one of the first HR-tech firms to earn Singapore's AI Verify certification.
Aiera
Aiera is a New York-based generative-AI platform for financial research that sources, verifies, transcribes and summarizes corporate and investor events - earnings calls, conferences, shareholder meetings and macro announcements. Covering 50,000+ events across 15,000+ global equities each year, it pairs AI automation with human review to deliver transcripts that reach roughly 99.9% accuracy, plus live audio, sentiment analysis, search and enterprise APIs. Founded in 2018 by former Wall Street internet analyst Ken Sena and ex-Amazon Alexa engineer Bryan Healey, Aiera is used by asset managers, banks and research firms, and closed a $25M Series B in 2025 backed by ten of Wall Street's largest research houses with Microsoft as a strategic technology partner.
Axoniq
Axoniq is a Dutch-founded enterprise software company that builds the backend infrastructure for event-sourced systems and, increasingly, for enterprise AI. Born from the open-source Axon Framework created by Allard Buijze in 2009, the company provides an event-sourcing platform - Axon Framework, Axon Server, and an agent runtime - that gives applications a complete, replayable memory of every decision they make. That memory is the foundation for auditability, explainability, and observability that regulated industries need before they trust AI in production. Axoniq's tools are downloaded 70 million+ times and used by more than 65,000 organizations worldwide.
Cape.ai
Cape.ai (formerly Cape Privacy) is a New York-based enterprise AI company building an agentic automation platform purpose-built for financial services. Founded in 2018 by Che Wijesinghe and Gavin Uhma, Cape lets banks, asset managers and insurers automate document-heavy back-office work - enhanced due diligence, SOC-report and third-party risk analysis, KYC/AML onboarding and regulatory reporting - using AI agents that are fully cited, auditable and deployable on-premise or in a private cloud so sensitive data never leaves the customer's environment.
Nomic AI
Nomic AI is a New York-based artificial intelligence company building tools to make large, unstructured datasets and AI models understandable and usable by everyone. It is best known for Atlas, a browser-based platform for visualizing and interacting with massive datasets; the open-source Nomic Embed family of text, code, and multimodal embedding models; and GPT4All, an ecosystem for running large language models privately on everyday hardware. Since 2025 the company has focused its platform on the architecture, engineering, and construction (AEC) sector, applying its embedding and retrieval technology to drawing review, code compliance, and document-heavy construction workflows.
Silent Eight
Silent Eight is a Singapore-headquartered regtech company that builds purpose-built artificial intelligence for financial crime compliance. Its Iris platform automates name screening, transaction screening, transaction monitoring, investigation and case documentation for banks, producing decisions with written, auditable narratives instead of black-box scores. The company is used by Tier 1 institutions including HSBC and Standard Chartered, and has raised roughly $55 million to date, including a $40 million Series B in 2022.
Transient.AI
Transient.AI is a New York-based fintech startup building what it calls a Trusted AI Operating System for capital markets - a compliant, explainable intelligence layer that unifies fragmented legacy systems for hedge funds, asset managers, RIAs, and sell-side trading desks. Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, the company ships a suite of enterprise SaaS platforms (Caddie.AI, ClarityRIA, CapFlo.AI, Sales+) plus specialized AI agents for trade ideas, surveillance, AML, and term sheets. In May 2026 it raised its Series A led by NEXT Investors to scale deployment inside regulated financial institutions.
Cipherome, Inc.
Cipherome is a San Jose-based clinical genomics and bioinformatics company on a mission to find the drug that works for each individual. Its no-code platform COMPASS lets researchers transform, query, and analyze massive clinical and genomic datasets - like the 500,000-participant UK Biobank - without writing code, while its Xentinel platform uses explainable AI to predict and reduce adverse drug reactions. Backed by roughly $16-23M through a Series B, the 12-person team pairs Silicon Valley software with Seoul National University biomedical-informatics research.
dotData
dotData is a Silicon Valley enterprise AI company that automates the most time-consuming part of data science: feature engineering. Spun out of NEC Corporation in 2018 and led by founder Ryohei Fujimaki, dotData builds software that automatically discovers signals hidden across multiple data tables and turns them into predictive features and business hypotheses. Its products - dotData Enterprise, Feature Factory, and the generative-AI-powered dotData Insight - let analysts and data scientists build models and surface KPI drivers in a fraction of the usual time, and are used heavily in financial services, insurance, manufacturing, retail, and telecom.
Evidium
Evidium is a San Francisco healthcare-AI company building what it calls 'Referenced AI' - a neurosymbolic platform that turns medical evidence into computable knowledge. Rather than a black box, it projects patients across a computable map of clinical states and the transitions between them, so every insight traces back to guidelines, charts, and research. Founded and led by Carl Bate, the company sells transparent clinician-quality insights and probabilistic risk forecasts to health systems, insurers, and payviders, and closed a $22M Series A co-led by Health2047 (the AMA's venture studio) and WGG Partners in November 2025.
Flagright
Flagright is an AI-native financial crime compliance platform that gives fintechs, banks, and crypto firms a single system for transaction monitoring, sanctions and watchlist screening, dynamic risk scoring, case management, and regulatory filing. Founded in 2022 by Baran Ozkan and Madhu G. Nadig after Baran spent roughly 18 months failing to find a real-time monitoring vendor he liked, the company sells what it calls an 'AI operating system for compliance' - including an agentic investigation engine, AI Forensics, that runs alert investigations end to end. It serves 100+ financial institutions across 35+ countries and raised a $12.5M Series A in June 2026.
NobleAI
NobleAI is a San Francisco software company that builds 'Science-Based AI' for chemical, materials and energy R&D. Its cloud VIP platform (Visualizations, Insights and Predictions) bakes physical laws and chemical properties into machine-learning models so they can make useful predictions from the sparse, messy datasets that industrial labs actually have - compressing R&D cycles from months to minutes. Founded in 2017 by physicist Matthew C. Levy, the company has raised roughly $40M from backers including Microsoft's M12, Chevron Technology Ventures, Sway Ventures and Dorilton, and counts chemical giants such as Solvay among its early partners.
ActionAI
ActionAI is a New York- and Israel-based enterprise software company building reliability infrastructure for AI. Its platform lets companies build, run, evaluate and improve mission-critical AI workflows with a human in the loop, mapping data across the AI stack for granular testing and using an 'Explainable Exceptions' system to catch model errors before they cause damage. Founded by Stanford-trained engineer Miriam Haart, the company raised a $10M seed round in April 2026 to serve regulated sectors like finance, insurance, legal and logistics where accuracy is non-negotiable.
Auguria, Inc.
Auguria is a cybersecurity AI company that builds the Security Knowledge Layer (SKL), a vector-based platform that ingests the flood of logs, events, and telemetry that security teams collect, then denoises, classifies, and prioritizes it - filtering out roughly 99% of the noise so analysts can focus on the ~1% of events that actually matter. Founded in 2022 by Keith Palumbo and Chris Coulter and emerged from stealth in March 2024 with $6.5M in seed funding from SYN Ventures and SentinelOne's S Ventures, Auguria plugs into existing SIEM and data-lake infrastructure to cut security data costs and surface threats others miss.
BankersLab
BankersLab is a fintech education and decisioning company that builds 'flight simulator' style software for lenders and bankers. Founded in 2012 by Michelle Katics and Kurt Gingher, it lets banks, credit unions and lenders practice consumer, retail and SME portfolio management in a risk-free simulation environment, then extends that same engine into AI-enhanced decision support. Its gamified, team-based workshops - ScoringLab, CreditLab, CollectionLab and InsightLab - have trained thousands of banking professionals across 30+ countries.
basys.ai
basys.ai is a Cambridge, Massachusetts healthcare technology company that builds enterprise-grade, domain-specific AI for health plans and payers. Founded in 2022 by Harvard health data science alumni Amber Nigam and Jie Sun, the company automates prior authorization, utilization management, and payment integrity, turning a process that can take days into decisions rendered in minutes - with plain-language rationales and hyperlinks to the exact policy criteria and clinical notes behind each decision. The platform is designed to encode a payer's own coverage policies so it can compare them against a patient's longitudinal record without requiring integration marathons or sensitive data handoffs.
Corvic AI
Corvic AI is a Mountain View startup building an Intelligence Composition Platform - the logic layer that turns messy, multi-structured enterprise data (PDFs, tables, sensor logs, images, time series) into reliable, production-ready AI outcomes without bespoke pipeline engineering. Founded in 2023 by engineers from Intel, Katana Graph, and Determined AI, it uses proprietary techniques like Mixture of Spaces embeddings and agentic, auditable orchestration to deliver explainable enterprise intelligence for manufacturing, industrial, financial services, and life sciences customers.
Guide Labs
Guide Labs is a San Francisco AI research company building interpretable foundation models - large language and diffusion models that can reliably explain how they reach an answer, trace outputs back to their training data, and be steered without retraining. Founded in 2023 by machine-learning researcher Julius Adebayo and colleagues from the academic interpretability world, the company argues that the black-box status quo is a solvable engineering problem, not an unavoidable cost of scale. Its flagship open-source release, Steerling-8B, is pitched as the first large-scale inherently interpretable language model, and its Clarity platform packages interpretability tools for teams in regulated, high-stakes fields like lending, medicine, and drug discovery.
Integrated Biosciences
Integrated Biosciences is a Redwood City biotech founded in 2022 that fuses optogenetics, chemistry, and AI to discover small-molecule drugs for age-related diseases. Its optogenetic screening platform uses light to control cellular biology at millisecond and micron scale, generating clean data to train an explainable-AI drug-discovery engine. The company has published in Nature - including a new structural class of antibiotics - and raised $17.2M in seed funding led by Sutter Hill Ventures.
SquarePeg
SquarePeg is an AI-native recruiting platform that acts as an intelligence layer on top of a company's existing applicant tracking system. It enriches, evaluates, and scores candidates - explaining every match - so lean recruiting teams can screen unlimited applicants, rediscover past candidates, source passively from 500M+ profiles, and filter out fraudulent applications without swapping out their tools. Founded by Claire McTaggart, the company raised a $3.5M seed round in early 2025 to build candidate-evaluation software for the modern recruiter.
Syntensor
Syntensor builds frontier AI foundation models for cellular biology and human genetics that simulate how drugs act inside the body before a single patient is dosed. Using dynamical systems simulation and neural differential equations over multi-omics data, its platform predicts drug efficacy, systemic toxicity, and the causes of clinical trial failure, then explains the mechanism behind each prediction. Founded out of the University of Cambridge and now headquartered in San Francisco, the company aims to build an accurate, interpretable mechanistic model of human physiology that de-risks pharmaceutical R&D.
Scry AI
Scry AI is a bootstrapped enterprise artificial intelligence company founded in 2014 by Dr. Alok Aggarwal and headquartered in San Jose, California. It builds AI products that turn messy enterprise data into intelligence - intelligent document processing, anomaly and fraud detection, IoT-based predictive maintenance, conversational AI, and data lineage mapping - for finance, insurance, energy, manufacturing, and government clients. Profitable without venture funding, it reports roughly $28.4M in revenue and has appeared on the Inc. 5000 list multiple years running.
BeyondAI
BeyondAI (formerly Beyond Limits) is an industrial and enterprise AI company born from technology developed at Caltech's NASA Jet Propulsion Laboratory. Founded in 2014, it builds hybrid, neuro-symbolic AI that pairs machine learning and generative AI with rule-based reasoning to deliver explainable, human-like decisions in high-stakes sectors such as energy, oil and gas, manufacturing, utilities and healthcare. Backed by investors including Group 42 and bp ventures, the company raised a $133M Series C in 2020 and rebranded to BeyondAI at LNG2026.