5 Best Coresignal Alternatives for B2B Enrichment in 2026

SyncGTM is a B2B data enrichment and outreach platform best suited for revenue teams that want enriched leads in their CRM without writing code, offering waterfall data from 50+ providers and integrated outreach from $49/mo with a free tier.

Where Coresignal ships raw API records and bulk datasets that leave orchestration to your engineering team, SyncGTM runs each lookup through a waterfall of 50+ providers — only charging when a verified record is returned.

No engineering team required. No monthly bulk snapshots. Native sync into HubSpot, Salesforce, Pipedrive, Attio, and Zoho means enriched records land in your CRM the moment they are returned.

The data depth is the real differentiator. SyncGTM returns 76+ data points per lead — verified email, mobile direct dial, firmographics, technographics, funding stage, headcount, LinkedIn URL, job history, and buying signals like recent funding rounds, hiring spikes, and tech-stack changes.

SyncGTM's AI agents handle workflow orchestration — triggering enrichment on CRM events, firing outreach when buying signals appear, and routing leads automatically. See the full plan breakdown on the pricing page.

People Data Labs (PDL) is a B2B data infrastructure platform best suited for data teams and engineers building products on raw person and company records, offering 1.5B+ profile records, 70M+ company records, and self-serve pricing from $0.005 per record.

PDL is the closest like-for-like Coresignal swap for engineering-led teams. Both ship raw API access plus bulk datasets, both are billed per record, and both expect your team to handle deduplication, orchestration, and CRM push.

The differentiator on PDL is the self-serve entry point. Where Coresignal production starts at $1,000+/mo, PDL self-serve starts at $0.005 per record — much friendlier for small data teams prototyping a pipeline before committing to production volume.

The tradeoff is the same engineering tax as Coresignal — no native CRM sync, no outreach, no workflow layer. Revenue teams without a data engineer get nothing actionable out of the box. See our full People Data Labs review and the PDL alternatives roundup for the deep dive.

CompanyEnrichis a B2B data API best suited for product teams building account research and qualification features that need detailed company profiles. A domain lookup can return company descriptions, industry classifications, employee range, and technology data for the product's search, segmentation, or qualification rules. Plans start at $49/mo.

A platform researching software startups can use descriptions and industry tags to group companies by product focus, then use people search to identify founders and CEOs at selected accounts.

Alongside company enrichment, it supports company search, lookalike discovery, people search, and reverse email lookup. Plain-language search and structured filters can build an initial account list, while lookalikes find businesses similar to a seed company.

At 5,000 base company enrichments per month, the Starter plan works out to $0.0098 per record. That gives small teams a published entry point for testing a real workload before increasing volume.

Explorium.ai is a B2B data platform built as a data foundation for GTM teams and AI agents, covering 146M+ companies and 767M+ professional profiles with 4,000+ data signals, sold as credit packages from $29.99 after a 100-credit free trial.

Explorium is the closest Coresignal swap for teams whose actual problem was joining external data onto records they already hold. Like Coresignal it is API-first and warehouse-friendly, but it adds a modelling layer on top: fit and propensity scores come back with the enriched fields, so the output is a ranked account list rather than a raw dataset.

Where Coresignal ships raw firmographic records and leaves the analysis to you, Explorium covers the catalog and the modelling. It draws on external datasets spanning firmographics, technographics, hiring and funding signals, and web presence, then runs predictive models over the joined result. For teams that were already building scoring on top of Coresignal exports, that removes a whole layer of in-house work.

The tradeoff is the same one Coresignal has. Explorium is API-first with no native CRM or marketing-automation UI, so getting enriched records in front of reps needs a data team or middleware, and it does not produce direct dials. Teams running serious outbound pair it with a contact-data layer for the lookups it does not cover — our Apollo alternatives roundup covers the contact-database options for that half of the stack.

Reverse Contact is a B2B data API best suited for teams that need fresh people and company profiles for enrichment, identity resolution, and prospecting workflows, with live on-demand data retrieval, structured professional profiles, and company intelligence through an API.

Reverse Contact is the Coresignal swap for teams whose pain was data freshness and profile resolution, rather than access to large static datasets. Where Coresignal is built around large-scale data infrastructure and recurring dataset refreshes, Reverse Contact lets teams check profile freshness and choose between cached or live data retrieval depending on how current the record needs to be.

The real differentiator is the resolution layer. Reverse Contact can enrich people and companies from identifiers such as LinkedIn URLs, names, company domains, and other profile inputs, returning structured information such as job history, seniority, skills, location, industry, and metadata. Its Email Finder also uses a provider waterfall and verifies professional emails before returning them, making it useful for enrichment workflows where contact accuracy matters.

The tradeoff is that Reverse Contact is primarily an API and data layer rather than a full sales engagement platform. Teams looking for native sequencing, outreach, or a broader no-code GTM workflow will need additional tooling around it. For data teams building their own enrichment pipelines, however, the API gives more control over when data is fetched and how freshness is balanced against cost.