Why a list of companies is not yet an opportunity

1

Long lists, low relevance

Simple filters generate many companies that match on paper but have no clear commercial reason behind them.
2

Repetitive research

The team manually looks up the same information about industry, size, signals and products.
3

A CRM full of duplicates

New leads get added before existing accounts or data quality have been checked.
Realistic preparation for AI projects in industrial environments

Designed for account intelligence and commercial prioritization

The goal is not to generate as many companies as possible, but to find the accounts where there is a verifiable commercial reason to start a conversation.

  • Starts from the ICP, commercial criteria and hypotheses of interest
  • Collects and structures relevant information about the identified accounts
  • Highlights signals that may point to a need, a change or an opportunity
  • Separates formal fit from real commercial reasons
  • Prioritizes accounts for further research or contact
  • Keeps the sources and the reasoning used for qualification and verification

Key features

Lead discovery

Searches for companies by territory, industry and defined criteria.

Account Intelligence

Gathers context about the company and relevant signals.

Scoring and confidence

Separates fit from certainty and explains the selection.

Deduplication

Compares the result against the existing database.

Enrichment

Fills in the fields the sales workflow needs.

CRM export

A validated lead can be sent to the CRM with its context preserved.
MODULE PREVIEW

Start from a commercial hypothesis, not a list of companies

A useful lead discovery flow starts with more than "companies in Germany." It can include industry, company type, the products or services sold, keywords, exclusions and signals that point to a plausible commercial need. The result needs to carry enough context for the agent to understand why the company is worth investigating.
  • explicit ICP and criteria
  • research and enrichment
  • scoring + confidence
  • deduplication and review before CRM
Lead details Lead details
THIS IS A MODULE OF AI SALES 2.0 PLATFORM

Want to see the whole platform?

See all nine modules and the available packages. Contact us for a demo.

See all modules Book a demo
Simplified architecture

From data to controlled action

The ERP and CRM remain the source of truth for operational values. AI Sales 2.0 adds interpretation, rules, prioritization and workflow on top of the existing systems.
ICP + territory
AI research
Discovery + enrichment
Deduplication
Scoring + confidence
Review → CRM

Benefits delivered by the platform

1

The list of companies becomes a list of priorities

Accounts are ranked by fit, context and signals relevant to the company's offering.
2

The agent gets the reason for the prioritization

Not just "score 83," but why the company is worth approaching and what commercial context exists.
3

Prospecting and the CRM form a single flow

Relevant leads enter the process with data, an owner and a next step, not as an isolated export.
Comparison

Lead database, generic research, or agentic Lead Hunting

AI Sales 2.0 does not compete with a company database on volume. The value is orchestrating research around an ICP and keeping the reason why an account was selected.
Capability Lead database Generic AI research AI Sales 2.0 Lead Hunting
Discovery Filters Prompt / web research ICP + criteria + workflow
Enrichment Available fields Manual, via prompts Configured steps and defined sources
Scoring Vendor score Subjective Score + confidence + reason
CRM deduplication Separate No Part of the workflow
A BONUS FOR YOU

The "Recommendations, Upsell, and Rules" guide

Get our 172-page technical document, awarded by ANIS in 2026. It explains the OPTI hybrid architecture, which enforces company rules on top of AI.
Whitepapers and guides
ADDED IN AI SALES 2.0

You can run AI agents on top of your data!

The agent can turn prospecting from a sequence of lists and checks into a continuous flow of qualification and enrichment.
  • checks and completes the information about accounts;
  • compares each company against the target commercial profile;
  • identifies signals and reasons for prioritization;
  • can prepare the account and the next step directly in the CRM.
See the AI agents for prospecting
AI agent cost control

Other connected modules

Next Best Action & ERP Revenue Recommendations

Takes over the identified account and tells the agent which action is worth taking next.
See the module

Conversational Analytics & Business 36

Compares segments, sources, conversions and the characteristics of good accounts.
See the module

AI Agents for ERP & CRM Data

They can take over enrichment, checks and CRM updates within controlled limits.
See the module
Want intelligent quoting?

See the module in action

The AI Sales 2.0 platform includes nine modules. Book a 30-minute presentation.

See all modules Book a demo