Klamp

What Klamp is

Klamp describes itself as "an embedded integration platform as a service which is built to help SaaS companies." In practice that means it is aimed at a software vendor's product, engineering and sales teams, not at an end customer wiring up their own apps. A SaaS company uses Klamp to let its own customers connect third-party tools to the product, or to move a customer's data out of a legacy system and into the product. The pages we hold do not say where the company is based or who founded it. The footer carries a 2026 copyright, and the homepage says Klamp has migrated records for enterprise customers since 2021.

The homepage frames the choice as a question: "Add integrations to my product" or "Migrate customer data". Those two paths are the two products, and the site's phrase for them is "Two products. One integration layer."

What you build and how

Klamp Embed puts an integration marketplace inside your own UI. Your customers pick the apps they already use and connect them to your product natively. The company says that "from contract to a fully deployed integration marketplace inside your SaaS" takes 3 business days, "not months", and that this needs zero engineering lift on your side. The FAQ is slightly more cautious, saying Embed is "live in 5 business days" and that your product or sales team handles setup with a visual builder, "no developers needed." Klamp says it handles OAuth, credential management, field mapping and error handling automatically. The pitch to engineers is that they should be building the product, "not maintaining connectors, writing OAuth flows, or debugging webhook failures."

The builder side includes an AI Workflow Builder. The homepage shows a two-step flow: you describe a workflow, and a generated workflow preview appears, with a "project management automation" example. A comparison page shows a sample flow where a closed-won Salesforce opportunity creates a customer record in NetSuite, with the AI matching 14 of 14 fields. That page also says Klamp supports custom fields through AI-assisted mapping and custom nodes.

Klamp Migrate moves customer data from a legacy system into yours. The company says it takes days, with AI-mapped fields and zero downtime. A distinct feature is who runs it: "Your resellers and partners run migrations themselves." Klamp AI maps fields across any two systems based on data types and context, which the company says reduces manual configuration by 85%. Every data movement is logged, timestamped and auditable, which the site ties to compliance and debugging. The homepage claims 100% record accuracy on every migration and more than 6 billion records migrated for enterprise customers since 2021.

The AI layer. Klamp contrasts itself with traditional iPaaS tools that "need engineers to build, maintain, and fix integrations." Three features carry that claim:

• AI-generated mappings match fields by name and data type, reducing manual configuration by up to 85%.
• Self-healing connections reconcile schema differences automatically, which the company says prevents broken integrations. The site adds that the AI monitors every integration in real time, corrects field mismatches and alerts your team before a broken connector reaches your customers.
• Predictive transforms suggest data transformations based on similar integration patterns across the Klamp customer base.

Connectors. The homepage counts "999+ pre-built connectors across helpdesk, CRM, ITSM, and more," and describes "999 + apps, ready to connect on day one." The comparison page says new connectors are delivered within a few hours. The only specific apps shown on the pages are Salesforce and NetSuite, in that sample flow.

AI agents. Klamp MCP "is for AI agents", and the FAQ explains that it lets LLMs call SaaS apps directly. A comparison page says agent connectivity is built into Klamp Embed.

Workflow automation. Klamp sits in the workflow category because its integrations run as automated flows triggered by events in connected apps, built in the visual builder. It does not present itself as a general task-automation tool for an individual's own accounts.

The evidence from the pages

Pricing. The pages we hold give no plan names or dollar amounts. They do describe the model. Migrations are "priced on volume-based record subscriptions" for helpdesk and CRM, so "you know the record count before any migration." The subscribed volume and per-customer usage show up in a real-time dashboard. The comparison page says "Klamp provides transparent published pricing on our website", while it says the competitor Cyclr requires a sales call, so the figures sit on a pricing page outside the pages we hold.

Compliance. The homepage lists SOC 2 Type II, GDPR, HIPAA and CCPA. The comparison page repeats that these are "included."

Reported results. The FAQ says SaaS teams using Klamp Embed report an 85%+ reduction in integration development time and a 40% higher deal win rate when demos include live integrations. A Head of Product quote says: "We went from a 6-month integration backlog to delivering any new integration within hours." Two G2 reviews on the comparison page mention quick setup, time saved by AI mapping and a support team that was "quick to help." These are the company's chosen quotes.

Versus Cyclr. Klamp's own comparison page claims 999+ connectors against roughly 600 for Cyclr, a 3-business-day go-live against weeks or months, and AI field mapping against manual block-by-block wiring. Treat that as a vendor's view of a rival.

Who it suits and who it does not

Klamp suits a SaaS company whose customers keep asking for integrations, where the product or customer-success team wants to ship a marketplace without taking engineers off the roadmap. Klamp Migrate fits a vendor onboarding customers from an older helpdesk or CRM, especially one that wants resellers or partners to run migrations. Teams that care about SOC 2 Type II and HIPAA will find both listed.

It is the wrong tool for a person who wants to automate their own apps, because the product is built for software vendors. The setup times quoted, 3 business days in one place and 5 in another, are vendor claims, and the deep customization beyond mapping and custom nodes is not described in detail. The pricing figures are also not on the pages we hold, so a buyer should confirm costs on the pricing page before planning.