2 Integrations with PredictLeads
View a list of PredictLeads integrations and software that integrates with PredictLeads below. Compare the best PredictLeads integrations as well as features, ratings, user reviews, and pricing of software that integrates with PredictLeads. Here are the current PredictLeads integrations in 2026:
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Cargo
Cargo
Cargo lets you build AI‑powered go‑to‑market workflows that drive revenue, orchestrating all GTM operations from a single hub. It aggregates, enriches, scores, assigns, and routes leads, keeping only golden records in sync with your CRM at the right time, cutting outbound admin time by half and letting sales reps focus on selling. It offers built‑in storage to integrate and unify data from CRM, product insights, marketing, and intent signals directly on top of your warehouse, without ever storing customer data locally. Users can define business entities, create segments without SQL, build workflows using native integration connectors, and deploy templates for tasks such as deduplication, data enrichment, lead scoring, account assignment, and waterfall enrichment. Cargo is SOC 2 certified for security, requests minimal permissions, backs up its own app database, and never stores customer data outside the user’s control. -
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Orthogonal
Orthogonal
Orthogonal provides specialized development services focused on building and scaling Software as a Medical Device (SaMD) and connected medical device systems, combining modern engineering practices with strict regulatory compliance. Their approach spans the full product lifecycle, including user experience design, human factors integration, requirements definition, risk analysis, Agile software development, and verification and validation to ensure both functionality and safety. It emphasizes the use of Agile methodologies adapted to regulated environments, enabling iterative development, faster feedback cycles, and continuous improvement while maintaining compliance with standards such as FDA, EU MDR, and ISO frameworks. Orthogonal supports the development of mobile, web, and desktop applications, cloud-based systems, AI algorithms, and SDKs that integrate with third-party platforms, allowing medical devices to connect, process data, and deliver insights.
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