Paloma Tech

Paloma Tech sells AI-powered workflow automation software sold on annual or monthly SaaS subscriptions. Plans run from $29 per-user “Starter” tiers up to $199 per-seat “Enterprise” bundles with custom data training, placing the brand in the mid-to-premium band. Everything is purchased and provisioned online through paloma-tech.com and in-product upgrade prompts; there is no boxed software or reseller network. The company’s no-code “Paloma Flow” engine lets non-technical staff chain together cloud apps, on-prem databases and large-language-model prompts in a drag-and-drop canvas. One-click deployment to Docker, AWS or Azure and built-in SOC 2 compliance auditing are marketed as 10-minute IT wins. Their most publicized case study claims a 73 % reduction in loan-processing time for a regional bank, and the Flow template gallery is now cited by tech media as a benchmark for generative-AI operational playbooks. Target buyers are operations managers, digital-transformation officers and lean startup CTOs who need quick ROI without hiring dedicated integration teams. Customers value speed, auditability and the ability to keep data inside existing VPCs; sustainability and “augment, don’t replace staff” messaging appeals to firms cautious about head-count optics. Paloma competes in the crowded integration-platform-as-a-service space against low-code iPaaS and pure LLM wrappers. It differentiates by combining pre-trained industry models with conventional API connectors in one subscription, positioning itself as an “automation brain” rather than just another connector library, and counters price pressure with transparent usage-based LLM metering instead of opaque credit systems.