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Top revenue teams ❤️ Nektar
People.ai is an activity mirror. Useful, until you need answers. Nektar is a system of record. We write clean, contextual, reportable data directly into Salesforce, so RevOps, Sales, and AI can actually trust it.
Nektar vs People.ai
Why Settle for Rules?
Trusted by leading B2B revenue teams for Salesforce-ready data
Deep Dive
Feature Comparison
Features
Why It Matters
Primary Category
Data & CRM First
A "System of Record"
engine
focused on writing clean, AI-ready
data directly into Salesforce to
feed your BI stack
Analytics & Dashboard First
A "System of Insight" built for
leadership dashboards and UI
scorecards
Strategic Fit
Choose People.ai if you want a new
dashboard out of the box. Choose
Nektar if you want trustworthy data
to power your existing BI
(Snowflake/Looker)
Pricing and ROI
Scoped & High-Value
Itemized pricing aligned with the
features you actually need. You
pay only for high-fidelity data
capture, ensuring every dollar
delivers value
Expensive & Bloated
Pricing is opaque and often leads
to paying for "shelf-ware"
Cost Efficiency
Stop paying a premium for
analytics features that just
duplicate what you already have in
Tableau or Looker
Flexibility
"Lego-Like" Modularity
Highly customizable backend rules
allow granular sync logic based on
geography, deal type, or title
Rigid & Slow
Built on a legacy architecture
where changing logic is difficult.
Teams must adapt their process to
the tool.
Agility
Your Ops team can pivot data
strategies instantly (e.g, "new rules
for EMEA") without waiting months
for vendor support
Meeting Intelligence
Verified Attendance
Logs exactly who attended (vs. just
accepted), duration, and status
(No-Show, Cancelled)
Blind Spots (Invited Only) Cannot distinguish "meeting accepted" from "meeting attended". Fails to log meeting types automatically
Pipeline Reality
Prevents
"watermelon pipelines" by
exposing if Economic Buyers are
actually showing up or just
accepting invites and ghosting
Data Accuracy
98.2% Proven Accuracy
Uses advanced "Affinity AI"
models to achieve 98.2% accuracy in
opportunity matching, even in
complex multi-deal environment
Prone to Errors
Rule-based matching struggles
with complex accounts, leading to
"wrong opportunity assignments"
that require manual cleanup
Trust
Forecasts rely on a reliable
dataset, freeing Ops teams from
the weekly burden of manual
attribution fixes
Salesforce Architecture
Native (Standard Objects)
Writes directly to standard Events,
Tasks, and Contacts. Immediate
usability in Salesforce flows and
reports with zero drift
Managed Package (Siloed)
Writes to custom
objects/managed packages.
Requires admin intervention to
standardize data and fix
duplicates
Usability
Nektar data is instantly available
for Databricks/Snowflake ingestion
without complex transformation
logic
User Attribution
Organizer-Centric
Primarily attributes activity to the
meeting host. Underreports value
of SEs, CSMs, and Partner
Multi-User Attribution
Credits every internal participant
(SEs, Execs, CSMs) and external
contact present
Resource ROI
Accurately measure the impact of
your overlay teams (SEs/CSMs) on
deal velocity and win rate
Noise Control
Granular Sync Rules
Precise controls on what to sync
(e.g., exclude specific domains,
limit contact creation). Filters out
noise before it hits CRM
High Volume (Storage Bloat)
Logs broad swathes of data by
default. Customers report
"Duplicate Participant"
records and
increased storage costs
Governance
Keeps your Salesforce instance
clean and performant while
reducing storage costs
Data Ownership
Own Your Insights
Writes engagement scores and
metadata back to Salesforce. You
keep the data forever
Rent Your Insights
Insights locked in proprietary UI. If
you leave, you lose the intelligence.
Continuity
Your data asset belongs to you,
protecting your historical
intelligence regardless of vendor
relationships
Go Deeper on the Comparison
The real differences between Nektar.ai and People.ai, explained.
Why Nektar.ai Wins?
Connect contacts to deals with context, not just logic.
Nektar goes beyond simple rules, using AI to understand the situation, ensuring that contacts are linked to the right opportunities, even with complex data.
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.
Keep your data clean and relevant without manual effort.
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
Hear from our Customers
Frequently Asked Questions
How hard is it to switch from People.ai to Nektar?
Nektar writes to standard Salesforce objects, so there's no rip-and-replace of your CRM architecture. Most teams are up and running in less than 3 weeks, not months, and historical data can be backfilled so you don't lose continuity.
Can Nektar replace People.ai completely?
For CRM data accuracy, contact capture, and Salesforce-ready intelligence, Nektar covers and exceeds what People.ai offers. If you rely heavily on People.ai's dashboard UI, you'd shift that work to your existing BI tools — which is where most RevOps teams prefer it to live.
Do I need to already be using Salesforce to use Nektar?
Yes. If your team runs on Salesforce or Migrating to Salesforce and want cleaner, AI-ready CRM data without manual effort, Nektar is a strong fit. If you're on HubSpot or another CRM, Nektar isn't the right tool today.
Can Nektar work alongside our existing BI tools like Tableau or Snowflake?
Yes — because Nektar writes to native Salesforce objects, your data is instantly queryable from any connected BI tool without custom transformation. No proprietary layer to work around.
Is Nektar only for RevOps, or does it serve the full go-to-market team?
Nektar is built for the entire GTM motion — RevOps for data governance, Sales for deal visibility, Marketing for attribution, and CS for churn signals. Everyone works from the same clean Salesforce data.
What if our deals involve multiple stakeholders and overlapping opportunities?
That's where Nektar's Affinity AI model was specifically designed to excel. It handles multi-contact, multi-opportunity accounts without misattribution — something rule-based systems routinely get wrong.
Does Nektar support AI initiatives we're building on top of Salesforce?
Yes. Because Nektar stores clean, structured data in standard Salesforce objects, it's ready to power LLM-based applications, AI agents, and predictive models without any data prep overhead.
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.
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!
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