A Funding Wave Signals Confidence in Enterprise Automation
Across procurement, payments, identity, IT operations, and marketing analytics, five enterprise software startups have secured more than USD 155 million (approx. RM713 million) in fresh capital. While they target very different domains, the common thread is a push to embed AI and automation directly into mission-critical workflows rather than treating AI as an add-on. Investors are backing unified data and control layers that can support autonomous or semi-autonomous agents: AI systems that not only surface insights but also initiate, optimize, and audit business actions. This funding pattern reflects how enterprise buyers are reframing AI priorities. Instead of experimental pilots, they want tangible reductions in manual work across finance, operations, and risk. Procurement approvals, payment routing, device logistics, and identity checks are emerging as early candidates for AI-driven transformation, where marginal gains compound into material savings and tighter controls.
Pivot Brings Agentic AI to Procurement and Finance Workflows
Pivot has raised USD 40 million (approx. RM184 million) in an oversubscribed Series B to expand its AI-powered procurement and finance operations platform. The company offers what it calls an AI operating system for spend management, connecting sourcing, approvals, purchasing, invoicing, payments, budgets, expenses, and reporting into a single workflow. Many large organisations still manage commitments via fragmented systems, spreadsheets, and email, creating visibility gaps that only surface at financial close. Pivot integrates with ERP and finance tools and supports complex multi-entity setups so teams can see and control spending commitments earlier in the process. Its agentic AI aims to shift the repetitive, rules-based tasks of routing requests, validating data, and coordinating approvals from humans to machines, while preserving strong financial controls. With operations in more than 25 countries and roughly USD 3 billion (approx. RM13.8 billion) in invoices processed annually, Pivot exemplifies how an AI procurement platform can become a central nervous system for enterprise spend.
Primer Builds an AI Operating Layer for Global Payments
Primer has secured USD 100 million (approx. RM460 million) in Series C funding to scale its unified payments infrastructure and deepen AI capabilities. Built on the premise that reliable AI decisions require complete data, the platform unifies fragmented processors, acquirers, and fraud tools into a single infrastructure layer that sits across the entire payments lifecycle, from checkout to payout. Primer captures more than 400 data points per transaction and typically manages over 95% of a merchant’s payment volume, creating the contextual foundation for intelligent optimisation. Its AI agent, Primer Companion, already surfaces complex payment insights; the new capital will help evolve it into an autonomous executor that can run experiments, optimise routing, and act within merchant-defined guardrails. Processing billions of transactions for brands such as GetYourGuide, Dialpad, and Printful, Primer illustrates how payments infrastructure is becoming a strategic canvas for AI, not just a utility layer.
Identity and IT Operations: Automating Risk and Hardware Complexity
In risk-sensitive areas, investors are backing AI-first approaches as well. Didit has added USD 6 million (approx. RM27.6 million) in Seed funding for its programmable identity verification network, which exposes developer-friendly APIs to verify people, businesses, and automated interactions. By connecting to government data sources and analysing over 200 signals—spanning document authenticity, biometric liveness, deepfakes, and behavioural patterns—the identity verification startup is tailoring fraud defences for an era of synthetic identities and automated attacks. On the infrastructure side, Tequipy has raised €3.06 million to automate global IT operations around employee hardware. Originating from painful manual laptop workflows, its platform now manages the full lifecycle of devices—purchasing, configuration, deployment, servicing, and recovery—for more than 150 companies across 180 countries. Both companies highlight how AI and automation are moving into foundational layers of enterprise risk and IT operations, where manual coordination has long been a bottleneck.
GEEIQ and the Bigger Picture: Unified Data Layers for AI-Ready Enterprises
Rounding out the funding wave, GEEIQ has raised USD 6.8 million (approx. RM31.3 million) to advance its analytics and measurement platform for gaming and virtual worlds. As brands expand marketing across mobile-first, creator-led platforms, they encounter the same fragmentation seen in payments and procurement: siloed data and inconsistent measurement. GEEIQ positions itself as an independent layer that unifies cross-platform data so brands such as Walmart, L’Oréal, Gucci, NASCAR, and Warner Bros. Discovery can evaluate performance across virtual worlds. Taken together, these rounds reveal a consistent pattern in enterprise software funding. Investors are favouring companies that centralise data and orchestrate workflows across entire domains—procurement, payments infrastructure, identity verification, IT operations automation, and marketing analytics. With unified data as the backbone, AI agents can move beyond dashboards and recommendations to execute decisions autonomously, aligning with enterprise buyers’ push to automate core business functions end-to-end.
