Multi-stage, multi-pipeline, multi-everything. Drag deals across stages with unsaved notes intact, forecast with weighted math that actually matches your quarterly call, and get a kanban your team won't abandon for a spreadsheet by week two.
We built pipelines around the seven things your team actually does every day — not the fifty things an "enterprise platform" thinks you might want someday.
New-biz, renewals, expansion, partner-sourced, inbound trials — each gets its own board with its own stages. ⌘ P to switch, muscle memory takes over.
Can't drag a card to Proposal without a close date, probability, and primary contact. No more quarterly scrubs hunting for data your reps "meant to fill in."
Each stage has a default probability. Override per-deal when reality disagrees. Forecast is a sum of weighted values — same math your CFO uses, surfaced live.
Deal untouched for longer than your stage's idle threshold? It glows amber, surfaces in the rep's daily digest, and counts against your pipeline-hygiene score.
Big enterprise opportunity that's really three products? Split it — each child keeps parent lineage. Two deals turned out to be one buyer? Merge, activity history unions cleanly.
Select 40 deals. Reassign owner, shift close date by +30 days, tag for a campaign. Undo is one click — a full activity record lands on every affected deal.
Three views stacked on one card: commit (deals your reps will stake reputation on), best case (everything currently in the pipe), and weighted (probability-adjusted). Export to your board deck, or pipe to Snowflake via the warehouse connector.
We're not going to pretend Salesforce doesn't exist. Here's the honest comparison across the features you actually use.
| Conduyt | Salesforce | HubSpot | Pipedrive | |
|---|---|---|---|---|
| Multi-pipeline out of box | ✓ Unlimited | Enterprise tier | Pro tier | Limit of 10 |
| Stage-level required fields | ✓ Drag-to-config | Validation rules, Apex | Workflow builder | ✗ |
| Weighted forecast waterfall | ✓ Built-in | CRM Analytics add-on | Forecasting Pro | Limited |
| Deal split & merge | ✓ | ✗ | Partial | ✗ |
| Time to first board configured | ~4 min | 2-6 weeks w/ partner | ~45 min | ~20 min |
| Data warehouse sync (native) | ✓ Snowflake · BigQuery · Redshift | Via Data Cloud | Via operations hub | ✗ |
| API rate limits | 1k/min · 25k/hr (Pro) | Complex tier matrix | 100/10s Enterprise | 40/2s |
"We moved 26 reps off Salesforce in a weekend. Our forecast accuracy in Q1 was the closest it's been in four years."
Drag nodes, branch on any field, wait on any event, send on any channel. The flow your ops lead sketched on a whiteboard, live in your CRM by lunch. No separate marketing-automation bolt-on, no "please sync your contacts."
No more handoffs between "the spreadsheet the SDR maintains" and "the list marketing imports into their tool." Same data, same filters, same segment — everywhere in Conduyt.
Company attributes, contact attributes, deal state, activity history, custom events from your product, survey responses, billing status from Stripe. Nest with AND / OR / NOT. Save as a dynamic list that stays fresh forever.
Every node in the canvas earned its spot because a customer asked for it. If you need a thing we don't have, a webhook node calls anything.
Form submit, list membership, manual, API call, Stripe event, Segment event, calendar booked, date reached.
Email, SMS, WhatsApp, in-app message, voicemail drop, Slack DM, LinkedIn InMail (via integration), update field, create task, move deal stage, webhook.
Branch on field, branch on event, wait duration, wait until, A/B split, random split, goal reached (exit path).
Merge branches, loop back, stop flow, remove from segment, send to another flow, end with review.
"We killed two marketing-automation tools the same week. The flow canvas does what they did, on data we already had."
40+ native integrations, a published GraphQL schema, REST for the old-guard, webhooks for everything, and a plain-english Zapier app. We don't believe in data hostage situations — your stack stays your stack.
GraphQL if you want precision. REST if you want familiarity. Webhooks if you want to react in real time. Every endpoint documented, every schema published, every breaking change announced 90 days ahead.
One endpoint, infinite queries. Persisted queries to save bandwidth. Cost analysis to protect your workspace. And a schema explorer built into the docs — type a query in the browser and see the shape of the response before you write a line of code.
/v1/graphql · breaking changes announced 90 days out# Deals closing this week with owner + last 5 activities query UpcomingDeals { deals(filter: { closeDate: { within: "7d" } }) { id name value stage { name probability } owner { name email } activity(last: 5) { type at summary } } }
Every integration is built and maintained in-house. No third-party plugin gold rush, no abandonware. If it's listed, we wrote it and we support it.
DM reps when deals move, post digests to channels, log messages as activities.
Sync customers, subscriptions, invoices. Trigger flows on MRR changes and failed charges.
Two-way sync of threads. Log replies automatically. Send from Conduyt, reply from Gmail.
Microsoft 365 and Exchange — same two-way fidelity as Gmail. SSO via Azure AD.
Reverse-ETL every object to your warehouse. Hourly by default, near-real-time optional.
Native streaming-insert pipeline. Partitioned tables, clustered on deal_id.
Source + destination. Drop Segment events into the timeline, fire flows on any event.
Unify support convos with sales timeline. Route intercom leads to pipelines automatically.
Auto-log call recordings, transcripts, and AI summaries to the deal. Full search.
Bookings create contacts, route to pipelines, and enroll in onboarding flows.
Connect to the long-tail. 5000+ apps, read and write triggers, bulk-action support.
Link deals to issues. Auto-add release notes to deal timelines. Perfect for dev-tools GTM.
Link deals, customers, and feedback to issues. Roll feedback into your roadmap.
Embed live deal data in pages. Sync meeting notes to contacts. Team-wide tagging.
Import historical data from Attio in one click. For teams moving from there to us.
Community-led GTM? Route Discord signals to pipelines and log member activity.
We asked our support team which questions come up every week. Here they are, answered like you asked a friend.
Per-plan. Free Trial and Starter get 5k requests/hour sustained. Professional gets 1,000 req/min burst and 25k/hour sustained. Enterprise custom. GraphQL queries cost between 1 and 1000 points depending on depth and breadth. Persisted queries skip 80% of that cost. If you hit a wall, we surface it in a dashboard card before you pager-duty us.
Yes, on the Enterprise plan. Source under BSL (converts to Apache 2.0 after four years), Docker Compose for single-node, Helm chart for Kubernetes. We provide the binary, you provide the infra. Support contract available separately.
No. Ever. You get a one-click CSV export of every object, plus a PostgreSQL dump via the data-export API. Your data stays accessible for 90 days after cancellation (in read-only mode). After that, we permanently delete -- and send you a signed attestation.
We operate EU and US data residency zones. Pick one at workspace creation; we never move data across zones without your explicit consent. GDPR + UK GDPR + Swiss Federal Data Protection Act all covered. DPA auto-signed at workspace signup.
Exponential backoff: 30s, 2m, 10m, 1h, 6h, 24h, 24h. We honor Retry-After headers. Each endpoint gets a per-event delivery guarantee of at-least-once. Idempotency keys on every payload so you can safely dedupe on your end.
Every workspace gets a free sandbox with seeded data -- 2000 fake contacts, 450 deals, 6 months of activity history. Spin up additional sandboxes per project. Changes there never touch production. Perfect for integration dev and GTM onboarding.
"The GraphQL API is the best I've used in eight years of writing CRM integrations. Cost analysis saved us twice in week one."
See how Conduyt fits your specific use case — with features, pricing, and case studies tailored to your segment.