The Upside Platform

Everything in the Upside platform.

The tools your go-to-market team needs to see what really happened in every deal, understand what worked, and act on it, all built on one foundation of trustworthy data.

See the products

Trusted by go-to-market teams at

GraphiteCrestaSyndioDscoutAssembledComply2X MarketingServiceTitan

Data Foundation

Connect your systems in a few clicks. Upside reconstructs the full history of every deal, resolves your contacts into real buying groups, and heals the gaps, giving you one record of your go-to-market you can finally trust.

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Salesforce
Marketo
Gong
Email
Calendar
One GTM dataset
Identity resolvedJ. Ortega ×3 → 1 person
Timeline reconstructedevery touch, in order
Touchpoints recovered+37K from calls & email
Your AI agent

Dashboard

The whole account story, for your whole team. Pre-built explorers, list views, and report cards that answer the questions leadership asks, without writing a line of SQL.

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Campaign ROI Analysis

Opps created post-engagement

12,480

Post-engagement won revenue

$94M

Deals progressed by campaigns

3,120

Progressed pipeline

$38M

In-cycle deals touched

7,250

Attribution OverviewKeep / Optimize / StopTop PerformersUnderperformersPlaybookMethodology

Deep Research

Analyst-quality answers to questions that were never practical to ask. Run one analysis across a whole cohort of accounts in parallel, dozens or hundreds at a time, and get structured, comparable results back in a fraction of the time it would take one account at a time.

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Closed-Lost — Q4

✓ complete
38 records4 AI fields
OpportunityAmount★ Winning competitor★ Loss driver
Ascend Academy$117,750Cleartrace2 srcPrice
AstraGen$83,000Built in-house3 srcBuild vs buy
Course5 Analytics$72,000Cleartrace2 srcFeature gap
BuildConnect$44,750Northstar2 srcPrice
Homebase$40,650No decision1 srcStalled
+ 33 more…

Pipedash

Multi-touch attribution that survives the drill-in. Pipedash reasons over the full deal record, allocates credit in real dollars, and cites the evidence behind every number, so the answer holds up when finance asks.

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Dealprint

Prime Analytics · $70.7K
53%22%15%10%Prime$70.7K
Marketing53% · $37.5K
Inferred pool22% · $15.5K
SDR15% · $10.6K
3rd-party10% · $7.1K

MCP

Your GTM data, inside the AI tools you already use. Query it, explore your accounts, and manage the platform from Claude, ChatGPT, Cursor, and more, all under your own permissions.

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UpsideMCPClaudeChatGPTGeminiCursorCodex+ more

Miniapps

Turn an insight into a tool the team can use. Describe what you want and get a custom app, deployed to your dashboard and wired to live data, no front-end project required.

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"Build a follow-up tracker for last week's webinar leads."
Webinar Follow-Up Tracker

142

Leads

88

Worked

VP Ops, AcmeFollowed up
Dir Eng, GlobexWaiting 9d
Head GTM, InitechFollowed up

Upside Agent

All the power of Claude, focused on your data. Ask a question, watch it plan the work, and get the analysis back, safely sandboxed to your Upside environment.

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+ New session
To do
In progress
Done
Objection patterns
Funnel velocity
Winning deal themes

What should we investigate?

Catch me up on a key account
Compare campaign performance
Build a Miniapp
Investigate a deal slip
SupervisedSend

Radiant

Keep your AI grounded in how your business actually works. Radiant is the active context layer every agent checks first, sharing your definitions, your pipeline structure, and your field meanings, so every team member asking equivalent questions gets equivalent answers instead of five quietly different ones.

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ClaudeCursorUpside agent
“How much new pipeline did we create in Q1?”
consult_librarian( intent )

Radiant coaches

orgFiscal year starts Feb 1. “Q1” here is Feb to Apr.from finance calendar doc
org“New pipeline” = opps reaching Stage 2 (SAL), type New Business. Renewals are a separate record type.curated by RevOps
schemaFilter on stage_2_entered_at, not created_at.seen on a prior failed query

Insight Engineering

GTM engineering on tap. Our analysts build and maintain your analytical surface for you, turning raw GTM data into the board-ready answers you need, on a standing annual engagement.

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One engagement, start to finish

A question comes in

“New account directors are ramping. Get them up to speed on their books, fast.”— Head of GTM Ops

The Upside team takes it

Already knows the data model. Has built this kind of work across dozens of datasets.

Built

An Account Dossier: per-account engagement history, buying signals, competitive landscape.

Deployed into the instance

Live on their data. Ramp time down, single-threaded deals flagged early.

One annual line item, not an open invoice

On the horizon

A few of the things we’re building next.

Coming soon

Genesis

A pre-encoded GTM knowledge graph: entities and relationships, made legible for people and AI.

Coming soon

Mithril

Enterprise permissions: data tenants sandboxed by role, so cross-boundary access is impossible.

Coming soon

Enrichment

Fill the firmographic and contact gaps in your record automatically.

Coming soon

Intent Signals

Surface in-market buying signals across the accounts you care about.

See it on your own pipeline.

The fastest way to understand the platform is a guided demo on your own GTM data.

Read customer stories