Explorium

Veersa Technologies is a US-based IT services and AI enablement company founded in 2020, with headquarters in the United States and a delivery center in India. In under five years, it has grown to nearly 500 professionals and has been profitable since its inception. The firm helps clients navigate digital transformation - modernizing legacy systems, building software products, and developing AI-powered analytics platforms that translate data into actionable business insights. Veersa operates across industry verticals including healthcare and enterprise business operations, with stated use cases ranging from improving patient outcomes to increasing operational efficiency. Its technical work spans digital engineering, data analytics, and artificial intelligence, with a team that combines hands-on software engineering expertise with domain knowledge in the industries it serves. The company's operating principles reflect a deliberate culture: decisions are pushed toward those closest to the problem, intellectual humility is valued over hierarchy, and the emphasis is on learning by doing rather than dogma. Engineers are expected to take real ownership of their work, with accountability tied directly to outcomes rather than process.

Encord builds data infrastructure and tooling for AI and machine learning teams. Its platform covers the full data development lifecycle: managing and curating datasets, annotating data at scale with workforce management features, and evaluating models in production for reliability and correct behaviour. The company positions data quality as the central variable in whether AI systems perform as intended. The platform is designed for multimodal AI workflows, supporting teams that need to move from raw data to production-ready models. Core capabilities include: Data management and curation – tools for organising, filtering, and maintaining the datasets used to train and validate models Annotation and workforce management – labeling infrastructure and tooling to coordinate annotation work at scale Model evaluation and observability – capabilities for assessing model behaviour both during development and in production Encord was founded by former quantitative analysts, physicists, and computer scientists, and its team includes engineers and operators who have worked at Meta, Microsoft, Apple, Intel, Goldman Sachs, McKinsey, and J.P. Morgan. The company is backed by Y Combinator, Next47, and CRV, among others.

TWINGO is an Israeli technology company founded in 2010 that specialises in big data, business intelligence analytics, and cloud infrastructure. It serves both enterprise and startup clients worldwide, offering end-to-end services that span architecture design, technology selection, and full implementation - including OEM and SaaS data solutions. The company works exclusively with platforms it considers best-in-class, representing a focused portfolio rather than a broad catalogue. On the data platform side, TWINGO represents and deploys SingleStore, Vertica, Confluent, and ScyllaDB. Its business intelligence offering includes Looker and MicroStrategy. For cloud infrastructure, the company holds certified partnerships with all three major providers: it is a Premier Consulting Partner with AWS (with recognised data and analytics expertise), a Gold Partner with Microsoft Azure, and a partner with Google Cloud Platform. Over more than a decade of operation, TWINGO has completed hundreds of implementations, including projects at data scales reaching one petabyte. The company's technical work is carried out by an in-house team of Israeli experts, and its client base spans organisations of varying sizes across multiple geographies.

At Nanonets, we build an AI-driven platform that automates document processing and data extraction workflows, helping businesses eliminate manual tasks and streamline operations. Using advanced Optical Character Recognition (OCR) and deep learning models, we automate complex processes like accounts payable, order processing, and insurance underwriting. Our platform handles a wide range of unstructured documents - including invoices, receipts, purchase orders, contracts, claims, and forms - converting them into structured, actionable data that integrates seamlessly with existing systems. We’re trusted by 34% of Fortune 500 companies and scale from small businesses to enterprise-level document automation. Our approach reduces manual effort by up to 90% while delivering accuracy, speed, and cost savings of up to 50%. With a vision to make machine learning as ubiquitous as databases, we’re building infrastructure that enables businesses to unlock the potential of AI across finance, healthcare, supply chain, and other document-heavy industries. Our team combines deep technical expertise with a practical understanding of how businesses actually work, focusing on solving real problems rather than chasing hype.

Bloomreach is revolutionizing ecommerce through its AI-powered Loomi platform, which unifies real-time customer and product data to create limitless personalized shopping experiences. By understanding individual customer intent and connecting that intelligence across every channel - from email and SMS to web search and mobile apps - the company enables brands to deliver magical, memorable interactions that drive measurable business growth. Their autonomous search technology goes beyond keyword matching to truly comprehend what shoppers want, while their conversational shopping agents scale the expertise of the best sales associates to guide customers to perfect purchases instantly. Since 2009, Bloomreach has grown to power 25% of all ecommerce experiences in the US and UK, serving over 1,400 global brands including American Eagle, Pandora, and Red Bull. With 900+ employees worldwide and multiple patents for their AI/ML innovations, they process 250 million searches daily and help marketers execute 100,000 email campaigns every day. Their mission - to drive magical and measurable experiences for people and businesses - has made them the trusted Commerce Experience Cloud for retailers, brands, and B2B companies seeking to break the limits of what's possible in digital commerce.

Duku AI builds autonomous testing infrastructure for software teams. Its platform runs every critical user journey after each build, simulating real user behaviour to catch failures before they reach production. Tests self-heal as the codebase evolves, with the platform designed to eliminate both flaky tests and the manual maintenance burden that typically accompanies them. The company is venture-backed and reported $330,000 in revenue in 2025, generated by a three-person team. Its founders claim operational backgrounds that include scaling Meta's testing infrastructure, launching Uber's global playbooks, and growing Deliveroo from its early stages through hypergrowth. Duku AI operates in the software quality and QA space, with its platform aimed at engineering teams, product teams, and QA functions that rely on continuous testing as part of their build and release cycles. The platform's autonomous agents are designed to reason about test failures and apply fixes without manual intervention.