Build Agentic GTM Systems that work

High performing GTM AI agents run on high quality data

Nektar AI agents capture every customer interaction and structure it into your CRM and AI systems with enterprise-grade accuracy.
Built for GTM AI leaders and data driven CROs running AI transformation.

Build Agentic GTM Systems that work

High performing GTM AI agents run on high quality data

Nektar AI agents capture every customer interaction and structure it into your CRM and AI systems with enterprise-grade accuracy.
Built for GTM AI leaders and data driven CROs running AI transformation.
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Data Layer Zero for the GTM stack.

Just as Snowflake is the data layer for analytics and Segment was the data layer
for marketing, Nektar is the data layer for GTM and AI agents.

Without Nektar, enterprises tolerate the problem.

Not because they're unaware — because they have no good alternative. Until now.

~80%

of GTM interactions never
reach the CRM

Emails, calls, and meetings, the richest AI signal, captured by no one, structured by no one.

40–60%

of RevOps time spent cleaning CRM data manually

Sales teams log inconsistently.
Offshore data entry teams hired.
AI budgets reallocated when pilots fail.

$0

ROI from AI agents grounded
in dirty data

AI agents trained on incomplete CRM data produce confidently wrong answers. The data problem becomes an AI problem.

Your revenue engine is stalling - and it's not your team's fault.

When buyer activity is invisible, GTM teams can't win.

Teams operate in isolation with no shared view of engagement.

No clarity on who’s involved, what they’re doing, or what’s working.

With just 15% of buyer relationships in Salesforce, forecasts can’t be trusted.

Trusted by Revenue Leaders

Two layers. One foundation.

Start with the data foundation. DAISY is the natural next layer.

Level 1 – Foundation

Data Foundation

The invisible infrastructure layer. Automatically captures and structures every customer interaction into your CRM — with no rep involvement and no behavioral change required.

  • Proprietary ML entity matching engine
  • Self-healing architecture with Time Travel correction
  • Salesforce, HubSpot & Dynamics native
  • SOC2 & ISO 27001 certified
  • Snowflake bi-directional integration
  • Go live in under 2 weeks

Level 2 – Intelligence

DAISY AI

AI-powered revenue intelligence built on top of the Data Foundation. Because AI is only as good as the data beneath it, and DAISY runs on the most complete GTM data in your stack.

  • Buying group detection & relationship mapping
  • Deal health scores from real engagement signals
  • Churn risk from actual interaction patterns
  • Exec engagement tracking & multithreading score
  • Rep performance insights without manual logging
  • Forecast prediction grounded in real activity

Introducing DAISY - Deep AI Signals for You

Buyer Visbility

Map and track relationships you didn’t know existed in CRM automatically.

Opportunity Contact Roles

Identify buying groups on your open and closed opportunities without any manual effort.

Persona Identification

Detect and tag contact influence such as decision maker, technical buyer, potential champion.

Meeting Type Classification

Distinguishes demos from reviews—maps buyer journey touchpoints automatically.

No-Show Detection

Distinguishes invitees from actual participants—flags relationship risks instantly.
+80%
Fill Rate
2-3hrs
Saved per rep
Signifyd

"By far the most impactful tool to understand our buyers and their influence. Almost immediately we got the visibility we needed from a long time."

– Dan Jiao

Deal Velocity

Uncover what’s driving—or slowing—deal momentum.

Multithreading and Powerthreading score

Measures breadth and seniority of buyer engagement—more power, more momentum.

Executive coverage

Tracks seller-side exec involvement—strong exec relationships can unblock deals and boost

Key Objections Summary

Summarizes objections raised in meetings—helps flag hidden blockers early.

Legal and Infosec Discussions

Tracks legal, security, and infosec discussions—strong late-stage buying intent signal.
+50%
Deal Velocity
+95%
Data Accuracy
Writer

"Nektar provides precise meeting data to optimize coverage and drive VP and C-suite conversations."

James Lee

VP GTM Strategy & Ops @ Writer

Deal Predictability

Use real engagement signals to validate deal health and stage progression.

Predicted deal stage

Stage prediction based on real activity—cuts through rep bias in forecasting.

Opportunity score

Rolls up signals into a health score—instantly spot which deals need attention.

Decision maker engagement ratio

Shows if decision-makers are engaged or missing—key for deal progression.

Last meeting with the Champion

Tracks last touch with champion—helps understand the deal momentum.
+90%
Accurate Forecast
+95%
Data Accuracy

"Our commit deals had win rates of 50-60%, far from the expected 80-90%. We turned to Nektar to leverage AI-driven engagement insights, helping us uncover the true forecast category and identify gaps in our pipeline."

– Sharath Keshava

CEO @ Sanas

Marketing Impact

Tie marketing efforts to pipeline creation and progression with better attribution.

Last touch before opportunity creation

Links marketing’s last touch to opp creation—know what drove real pipeline.

Last touch before meeting booked

Links marketing’s campaign to a new business meeting—tighten lead-to-meeting flow.

Number of marketing touches with Economic Buyer

Counts marketing touches with economic buyer—understand how marketing builds influence.

Number of marketing touches with Technical Buyer

Counts marketing touches with technical buyer—understand how marketing builds influence.
+85%
Contact Opportunity
+95%
Data Accuracy

"Nektar lets us tie marketing activities to real movement in the deal cycle—not just lead creation."

– Gar Smyth

VP Revenue Marketing & Operations @ Mimecast

Exec Engagement

Don’t lose deals because reps didn’t engage with authority

Upcoming Exec-Level Meeting

Flags the next meeting with VP/C-level—ensures exec momentum isn’t lost before close.

Last Exec-Level Meeting

Captures the last C-level engagement—adds confidence in late-stage forecast.

In-person meeting with Exec

Surfaces last in-person exec meeting—adds confidence in late-stage forecast.

Economic Buyer Alignment

Ensures the decision-maker is actively engaged.
+28%
Win Rate
+60%
In-person Meeting
Whatfix

"We've seen an average improvement in win rate is 28 ppts by tracking in-person meetings with execs"

– Nidhish Patni

Head of Revenue Ops @ Whatfix

Rep Performance

Uncover how your reps sell—and where they can improve.

Types of persona engaged

Breaks down which personas reps are meeting—are they talking to power?

Types of activities done

Shows what types of activities reps are doing—balance between strategy and effort.

Number of touches before first meeting

Measures effort to secure first meeting—useful for messaging and targeting refinement.

Number of touches before opportunity creation

Tracks effort needed to create pipeline—helps diagnose early-stage conversion gaps.
+17%
Deal Velocity
+95%
Data Accuracy
Signifyd

We have strong engagement metrics to identify key opportunities worth auditing. Nektar ensures accurate, polished data in Salesforce to drive better decisions.

– Alex Dyson

Senior Manager, Revenue Ops @ Signifyd

Churn Risk

Track key stakeholder engagement, and moments that impact renewal and expansion.

Last Meeting with the Champion

Tracks last touch with champion—helps prevent churn from silent accounts.

Last Engagement with the Economic Buyer

Tracks last touch with champion—helps prevent churn from silent accounts.

Last Business Review Meeting

Checks when the last QBR was held—no QBR, no expansion conversation.

Persona engaged in Business Review Meeting

Identifies who joined the QBR—exec presence = high renewal likelihood.
+100%
SE time attribution
+95%
Data Accuracy

“In <30 days we were able to track quality and history of engagement in high churn risk accounts.”

– Archana Ranjan

Director, Sales Business Applications @ EnterpriseDB

Presales ROI

Understand how SEs spend their time and which activities drive revenue.

Product positioned

Identifies which product is being discussed in meetings—helps align SE focus and forecast product-level interest.

Time spent on customer meetings

Measures how much time SEs spend with customers—optimize for top deals.

Time spent on high value deals

Shows if SEs are focusing on big deals—helps align resources with revenue.

Time spent on different activity types

Breaks down SE time across tasks (like Demo, RFP)—know where to cut or double down.
+80%
SE time attribution
1hr
per SE per Week
Signifyd

"We are able to align SE bandwidth with real pipeline priorities."

– Alex Dyson

Senior Manager, Revenue Ops @ Signifyd

Why choose Nektar

01

The only data layer that fixes history

Time Travel retroactively corrects data as new context arrives. Most tools enrich going forward. We fix what already happened not just on go live but on an Always On basis

02

Works across your entire stack

Unlike other tools, that only captures what they record, Nektar is the neutral infrastructure layer that makes every platform smarter — not just one.

03

No adoption needed

Your revenue teams don’t need to switch to a new UI. Nektar works behind the scenes, seamlessly.

04

Your data stays yours

Everything syncs directly to your CRM in standard and custom fields. Nothing lives locked inside Nektar. You own every record.

The Nektar Difference

The matching layer, self-healing architecture, and training data aren't features.
They're the product. And they compound over time.

Proprietary Affinity Matching

ML Engine

5 years of enterprise training data powers our entity resolution engine. It correctly associates communications, contacts, and activities with >97% accuracy — accuracy that competitors can’t replicate without the training data.

Self-Healing + Time Travel

Architecture

Nektar retroactively corrects data as new context arrives. If an email is logged to an account today and tomorrow we learn it belongs to an opportunity, we fix it everywhere automatically. No other vendor has this.

Zero Rep Adoption Required

Design

Fully automatic — no behavioural change from sales teams. This is deceptively hard to build. Salesforce can’t do it because they want reps in their UI. We built the infrastructure for the data to flow without human intervention.

CRM-Agnostic by Design

Neutrality

Works across Salesforce, HubSpot, and Dynamics. Salesforce’s Einstein Activity Capture is fundamentally conflicted — they’ll never build something that works for their competitors. Nektar is the neutral data layer the market needs.

Customers trust Nektar to get full picture of their revenue lifecycle.

Data Capture Intelligence

Enterprise-Grade Security

Zero-Effort Automation

Integrations

Enterprise-Grade Integrations for AI-Ready Revenue Operations

Integrate all your favourite tools with Nektar to superpower your sales process.

Most GTM AI initiatives fail at the data layer.
Is yours ready?

Go live in under 2 weeks. Backfill customer interaction
history in your CRM to make your agents productive on Day 1.

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