Build Agentic GTM Systems that work

Your AI is only as good as your CRM Data.

Capture every customer interaction automatically. Sync it to your CRM without lifting a finger. Go live in <2 weeks.

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 emails and meetings never
reach the CRM

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.

~80%

of emails and meetings
never reach your CRM

40–60%

of RevOps time spent cleaning CRM data manually

$0

ROI from AI agents trained
on dirty data

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

Why choose Nektar

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

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.

No adoption needed

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

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.