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Top revenue teams ❤️ Nektar
Gong records what's said on calls. Nektar captures who's involved in deals, the contacts, buying committee, and engagement data that otherwise never makes it into Salesforce. The ground truth that every AI agent on your stack needs.
Nektar vs Gong
Complete Revenue Data, Beyond Call Recordings
Trusted by leading B2B revenue teams for Salesforce-ready data, not just call recordings
Features
Activity Matching logic
ML-Based Affinity Engine
Scores activities based on domain, keywords, and participants to auto-attach to the single best opportunity. No manual filters needed.
Static IF/THEN Rules
Relies on pre-set "include/exclude" filters. Gong's own documentation acknowledges that accounts with multiple open opportunities require manual reassociation.
Attribution
Multi-User Attribution
Creates a single parent event with child events for every internal attendee (AE, SE, CSM), ensuring full credit in Salesforce
Single User Only
Logs activity only under the meeting organizer or primary contact, making attribution difficult.
Alias Support
Full Support
Captures and assigns activities even if reps use alias emails or secondary domains.
Not Supported
Only supports a single primary domain; alias emails are ignored.
Core differentiator
Contact Creation Method
Automated (Email & Calendar)
Deep integration standard objects. Uses participant data from both emails and calendar invites.
Custom Flows (Calls Only)
Gong's own FAQ states it doesn’t natively auto-create Salesforce contacts. Workflows are manual, admin-dependent, inactive by default, and break under batch sync (causing duplicate OCRs).
Core differentiator
Email-Only Contact Capture
Full coverage
Contacts captured from emails, not just calls
Call-only
Email participants not written as OCRs
Core differentiator
Accuracy & Context
High Precision
Context-aware ML handles complex scenarios (partners, multiple open opps) to prevent data overlaps.
Low Precision
Lacks context. Struggles when multiple opportunities are open or partners are involved, leading to messy data.
Core differentiator
Automated Buyer Role Assignment
Supported
Automatically identifies and assigns buyer personas (e.g., Decision Maker, Influencer).
Not Supported
No visibility into who is who within the buying group.
NEW
Power AI Agents (Agentforce, Claude, Custom)
AI Ready Data
Native Salesforce data read by Agentforce and any MCP-enabled agent without a new integration.
Unlimited history. All Channels.
Every interaction across every surface.
Data Gaps
Gong MCP exposes Gong's data layer which inherits gaps in contact creation, role assignment, email coverage, and a 90-day retrieval ceiling.
CRM Visibility
Rich Data in Salesforce
Pushes structured data (Meeting Status, Type, Attendees) directly into native Salesforce fields for reporting.
Locked Data
Creates a basic task with a link to the recording. Rich insights remain locked inside the Gong UI and are not reportable in CRM.
Engagement Signals
Actionable Signals
Syncs Engagement Scores, Last/Next meeting dates, and "Stalled" alerts to standard objects (Leads, Contacts, Opps).
Limited Visibility
Insights are kept in Gong, limiting visibility for Marketing and other revenue teams.
Granular Security
Comprehensive Control
Block/Ignore based on email body patterns, subject lines, folders, labels, and private events.
Basic Control
Limited to Email/Domain blocking only.
Confidentiality
Masking Supported
Can mask confidential subjects or email bodies (e.g., executive conversations).
Not Supported
Cannot mask specific content within logged activities.
Why Nektar.ai Wins?
Accurate Salesforce Activity Logging
Nektar ensures that every activity is captured correctly, attributed to the right people, and attached to the right deal, without creating mess in your CRM.
No user adoption required
Nektar's AI seamlessly integrates into existing workflows, meaning your team doesn’t need to change their habits to start benefiting from better data capture.
Automatic identification of key decision-makers.
Nektar uses context to automatically identify the most influential people in a deal, removing the guesswork for your team.Smarter. Simpler. Better.
Reportable Insights & Flags
Nektar filters out irrelevant contacts and activities automatically, saving time and maintaining clean, actionable data without relying on manual data entry.
Hear from our Customers
For AI First Companies
If you're deploying AI agents on revenue, the data underneath them is the constraint.
Being AI Ready
Every AI agent running on Salesforce Agentforce, custom Claude or GPT agents, internal pipelines reads from the same CRM. If the contacts are missing, the opportunities are misattributed, and the buying committee is invisible, the agent's outputs are wrong at machine speed.
The Gong Gap
While Gong's MCP attempts to expose Gong's data layer to external agents, the data Gong exposes inherits the same gaps documented above: No automated contact creation, No buyer role assignment, No email-only coverage, and a 90-day retrieval ceiling on historical context.
Nektar Powers AI Agents
Nektar writes structured, complete data to native Salesforce objects. Every agent on your stack, Agentforce by default, Claude or custom agents through Salesforce's native MCP read from a foundation that is reliable.
Frequently Asked Questions
Can Nektar and Gong be used together, or do they replace each other?
They’re complementary. Gong analyzes conversation quality on calls. Nektar ensures that deal data, contacts, and engagement signals are accurately captured in Salesforce. Teams that need both call coaching and clean CRM data often run them together.
We already have Gong. Why would we need Nektar too?
Gong shows you what was said on calls. Nektar captures who is actually in the deal, every stakeholder across emails and calendar, and writes that data to Salesforce where your entire revenue stack can use it. Many Nektar customers run both tools together: Gong for call coaching, Nektar for deal data completeness.
Gong has an MCP. Why do we still need Nektar?
Gong’s MCP exposes Gong’s data layer to AI agents. The question is whether that data is trustworthy enough to act on. Gong’s own February 2026 FAQ confirms Gong doesn’t create contacts in Salesforce. Email-only stakeholders aren’t captured. Contact roles aren’t assigned. Gong AI has a 90-day retrieval ceiling. Nektar writes structured, complete, correctly-mapped data to Salesforce which Agentforce, Claude and every other agent already reads natively. You don’t need a second MCP. You need the data underneath your existing one to be correct.
Do I need to already be using Salesforce to use Nektar?
Nektar is built natively for Salesforce today. HubSpot and Dynamics support is on the roadmap. If you’re on one of those, reach out and we’ll keep you posted on availability.
What if our CRM data is already messy? Does Nektar require clean Salesforce hygiene first?
No, and this is a key distinction. Gong’s own documentation warns that its matching requires strong CRM hygiene to work accurately. Nektar is designed to work despite messy CRM data, and in many cases creates the missing data that was causing the hygiene problem in the first place.
Can Nektar use Gong transcripts to power AI signals?
Yes. Nektar can ingest Gong transcripts alongside email and calendar data. Daisy AI then reads across all of it to compute revenue signals, auto-populate Salesforce fields, and surface deal risks. Gong captures what was said. Nektar ensures it’s mapped to the right deal and feeds your AI stack.
We're building AI agents on Salesforce. Does Nektar help?
Yes. Nektar writes clean, structured, association-resolved data to native Salesforce objects, which is exactly what Agentforce and other AI agents need, to produce reliable outputs. Gong’s data stays in Gong. Nektar’s data is in Salesforce, where your agents can act on it.
How long does Nektar take to deploy?
Most customers are live within 2–3 weeks of contract. There is no rep behavior change, no browser plugin, no recording consent. Nektar connects at the admin level via OAuth and starts capturing data and revenue signals immediately. Nektar also backfills historical data to deliver immediate value. Much faster and efficient than building custom Salesforce flows to get the data.
What happen's to Nektar data if we cancel our contract?
Because Nektar writes everything to native Salesforce standard objects, your data stays in your CRM regardless of your Nektar contract status. You’re not locked into a proprietary UI to access your own deal history, unlike platforms that keep insights locked behind their interface.
How is Nektar different from Salesforce's native Einstein Activity Capture (EAC)?
EAC logs basic activities. Nektar goes further, creating contacts, assigns buyer roles, scores engagement, flags stalled deals, and writes everything to native Salesforce standard objects, making it fully reportable.
How does Nektar handle data privacy and security?
Nektar is SOC 2, ISO27001 and CASA compliant, built with enterprise-grade security. You can review the full trust posture at Nektar’s trust page.
Hear from our Customers
A Sweet Milestone: Nektar Earned G2 and Product Hunt Badges!
Thanks to our wonderful users, Nektar has earned the G2 and Product Hunt Badges! Your support keeps us improving every day. Thank you for being part of the journey!
Run an Audit. See What Gong Is Missing.
We will analyze your Salesforce data alongside Gong’s coverage and quantify the gap: how many contacts are missing, how many opportunities are misattributed, how many email-only stakeholders are invisible. No commitment. No Cost.
