Problem

Paloma targets manufacturers and other “real-economy” businesses whose operations depend on fragmented ERPs, spreadsheets, email, messaging apps, paper records, and highly experienced employees. The pain is both operational and economic: teams spend substantial time moving and reconciling data manually, visibility is poor, and critical processes can break when one knowledgeable person is unavailable. Paloma’s clearest example is a large packaging manufacturer where each core supply-chain team was losing about a week per month to manual reporting; logistics built cost reports cell by cell, procurement chased confirmations across WhatsApp, and production tracked stock and orders manually.

A related post-sales use case described in Paloma’s YC launch is the revenue leakage created by fragmented contracts, usage data, customer context, and billing workflows. Account-management and success teams miss expansion, renewal, and churn signals, while complex pricing makes accurate invoicing labor-intensive and can constrain what the company is willing to sell. The killer use case is therefore replacing a high-volume, business-critical manual workflow—such as logistics reporting, contract-to-invoice billing, or usage-based revenue management—with a system that produces reliable answers and actions.

Product / Service

Paloma is a services-led, embedded software partner rather than a conventional off-the-shelf platform. It shadows the customer’s teams, maps processes and risks in a three-to-seven-day operational diagnostic, then builds the highest-impact solution in a six-to-ten-week trial engagement. The offering can connect ERP data, spreadsheets, emails, chats, and operational records into purpose-built AI-native tools, including operational intelligence, custom internal applications, and workflow automation. Examples include asking why logistics costs rose, moving WhatsApp orders into an ERP, digitizing paper shift reports, and structuring field data without manual keyboard entry.

The system is trained on each company’s terminology, business rules, product codes, supplier names, and exceptions, so it reasons with the customer’s operational definitions rather than merely predicting from generic language. In the post-sales product, Paloma parses contracts and communications, combines them with service-consumption data, flags upsells, renewals, churn risks, and usage changes, and turns contract terms plus usage into billing-ready instructions or reviewed invoices. Human review remains part of the design, with feedback gradually increasing automation. The benefit is lower manual workload, faster and more trustworthy decisions, improved process resilience, and better capture of revenue opportunities without requiring a large upfront IT program.

Market

Paloma competes at the intersection of industrial digital transformation, AI-native operations software, workflow automation, and—through its YC-launched product—post-sales revenue operations and usage-based billing. Its differentiation is the combination of an embedded engineering-and-operations team, bespoke software, and accumulated “operational context,” rather than asking a factory or supply-chain business to adapt to another generic platform. Adjacent competitors include JustPaid in AI-assisted upsells and renewals; billing platforms such as Chargebee, Sequence, DualEntry, and Zenskar; and newer usage-oriented platforms such as Orb and Metronome. General AI CRM products such as HubSpot with Breeze AI and Salesforce Einstein are broader substitutes, while the evidence does not provide a definitive company-supplied competitor list.

The company is not best characterized as pre-revenue based on the available third-party evidence: GetLatka estimated approximately $330,000 of 2025 ARR, although that figure is not reported by Paloma and should be treated cautiously. Official YC information identifies Paloma as founded in 2025, active, and part of Summer 2025, with a three-person team; Paloma also describes a pilot with one of the world’s largest packaging manufacturers. Its public materials do not disclose customer count, contracted revenue, or audited financial results, so the strongest verified traction signals are the active YC company, the named-but-anonymous industrial pilot, the demonstrated workflow, and the external ARR estimate.