Nagent AI
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Autonomous Prospecting & Lead Qualification

An autonomous SDR monitoring intent signals to craft hyper-personalized outreach and book meetings .

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Pipeline Genesis Engine

Pipeline Genesis Engine

By Nagent

Trusted by teams at

BigBasket
Kimberly-Clark
EPSON
Winsupply
Giottus
Navratna
Dr. Agarwals
Emami
GEP
Nippon Paint
Annotationworld
Soch
Grasshoppers
Dermi Cool
Madmonk
BigBasket
Kimberly-Clark
EPSON
Winsupply
Giottus
Navratna
Dr. Agarwals
Emami
GEP
Nippon Paint
Annotationworld
Soch
Grasshoppers
Dermi Cool
Madmonk

Watch it in action

See Pipeline Genesis Engine work — live.

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Pipeline Genesis Engine — Demo

Who uses this agent

Job roles it augments

VP Sales

Pipeline intelligence and forecast accuracy

Account Executive

Personalised outreach and proposal generation

SDR / BDR

Prospect research and outreach automation

Revenue Operations

CRM hygiene and pipeline reporting

Sales Manager

Team performance and activity tracking

Industry fit

Relevant industries

Also used in

FMCGB2B SaaSE-commerceHealthcareBFSIGlobal Capability Centres

What Pipeline Genesis Engine does

Key capabilities included with every deployment.

Autonomous Research & Enrichment gathering real-time intelligence.

Dynamic Persona Adaptation, adjusting messaging tone and value props.

Conversational Qualification assessing BANT criteria. CRM Autonomy creates and updates lead records automatically.

Compliance & Ethics Guardrails maintaining GDPR/CCPA standards.

Before agent
Human SDR capacity constraints create pipeline ceilings.
Inconsistent follow-up causes massive lead leakage.
Poor timing leads 78% of B2B buyers to view cold outreach as irrelevant.
Data decay causes 30% of contacts to degrade annually.
Long SDR ramp times create cyclical pipeline gaps.
After agent
Intent-Based Trigger Monitoring tracks 200+ buying signals.
Infinite Scale Personalisation reaches 500+ prospects daily.
Multi-Channel Orchestration coordinates email, LinkedIn, voice, and SMS.
Predictive Engagement Optimisation determines optimal send times.
Continuous Learning Loops refine targeting criteria autonomously.
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Guidebook

Sales Agent Best Practices

Follow these practices to get the best results from Pipeline Genesis Engine from day one.

1

Sync your CRM before deployment to give the agent current pipeline context

2

Define a clear "qualified lead" rubric the agent can evaluate against

3

Start with one ICP segment to tune personalisation before scaling to all

4

Set a daily run limit initially — review outputs before increasing volume

5

Use the Before/After workflow view to confirm the agent meets your qualification criteria

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What clients say

Real teams. Real results.

Nagent's agents cut our content production cycle from 5 days to under 24 hours. The KARMIC loop means they actually get better the more we use them.

Chethan M.

Head of Marketing, Leading FMCG Brand

We deployed a lead research agent in two weeks. It now runs 6 hours of manual SDR work every morning before our team starts. The ROI was obvious in month one.

Priya S.

VP Sales, B2B SaaS Company

The forward-deployed model is what sets Nagent apart. They didn't just hand us software — they stayed until it worked and our team could operate it independently.

Arjun K.

CTO, Global E-commerce Platform

Verified results from Nagent AI deployments. Individual agent performance may vary by use case.

Build a similar agent — your way

Use the Agent Building Studio to create a version of Pipeline Genesis Engine tailored to your data, your systems, and your workflow. Helix will help you design and validate it — no code required.

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Enhance or extend Pipeline Genesis Engine

Already using Pipeline Genesis Engine but need more? Our Agentic AI Lab can extend it — add custom integrations, connect your proprietary data, build multi-agent workflows around it, or deploy it inside your own infrastructure.

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Custom build

Need it customised for your workflow?

Our forward-deployed engineers can tailor Pipeline Genesis Engine to your exact data, systems, and business logic — and deploy it in weeks.