Your next target is one agent away

Let SightPulse Agents find out what all the data tells you together throughout the entire B2B2C chain. Generate optimal customer targets and activate them. Know where to look, what to do, and why.

Grounded in your data and business goals. Fully agentic. Fully reliable.

Pick your agent
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AI agents at human depth.

AI agents at human depth.

Most AI analytics tools are just wrappers. That’s how you get confident, but often wrong, answers.

SightPulse combines AI and robust analytics and statistics expertise, built over 20 years of delivering solutions to corporate environments.

The result is a reliable, 4-layer platform that provides you with an insight you can act on and defend.

04

The conversational layer
An AI analyst agent reads your question, routes it to the right sub-agents, and returns the answer in plain language.
The conversational layer
LLM Connectors
AI Analyst (Agent Chat)
LLM Curator
AI Knowledge DB
LLM agnostic
Answer
Query

03

The business layer
This layer contains your business language and serves both as a guardrail and a framework.
The business layer
Business KPIs
Segmentations & 
Dimensions
Pre-Defined & Ad-hoc Analyses
Interactive Visualizations
Smart Targeting
Answer
Query

02

The statistical engine
Calculations, aggregations, predictive models, driver analysis are all running underneath every agent response.
The statistical engine
Cross-tabulation
Custom attributes
Statistics
Aggregations
Predictive Models & ML
Answer
Query

01

The data layer
Your DWH, your data lakes, your real-time connectors, your metadata. SightPulse plugs into what you already run.
The data layer
LLM Connectors
AI Analyst (Agent Chat)
LLM Curator
AI Knowledge DB
Connectors
You ask a question at the top. The layers answer from the bottom up.
Beneath the conversational surface, the statistical and ML models are rigorous allow you to trace every source.

This is the kind of analytical work your team would expect from a senior analyst.
the data layer

Your data, ready for the agents

Most enterprise data isn’t analysis-ready. Product features have different names across markets. Trade master data drifts. Consumer research panels have their own coding standards.

Your transactional systems, CRM, trackers, and digital channels all speak different dialects of the same business.

SightPulse doesn’t ask you to harmonize that first. We do it for you.

Your data, ready for the agents

Vital source data for vital decisions

The breadth of what an agent can answer is set by the breadth of what it can see.

SightPulse is built to read across the categories of source data that commercial decisions actually depend on, from the systems your team already runs, in the shape those systems already produce.

Sales and transactional data
sell-in/sell-out, distribution, POS, purchase data
Consumer research
trackers, panels, ad-hoc studies, target market data
Market monitoring
products, sales volumes, prices, census
Digital channels
Google Analytics, Meta APIs, Brand24, e-commerce platforms
Master data
products, channels, shops, geographies, clusters
External and internal
taxation, P&L, Euromonitor, partner reports
Pre-built analytical workstreams cover every commercial function that the agents call from when you ask a question.
Vital source data for vital decisions (1)

You’re talking to specialists.
Not chatbots.

Select cases of many agents and use cases. We are building taliored agents based on rich agents skills repository.

Each agent is tuned to a specific type of commercial decision. Start with one. Scale to many. Run them in parallel, each serving a different team or function.

“Where should we grow next, and what should we lead with?”
Market strategy agent

It analyzes the market and consumer landscape, optimizes brand positioning, and refines marketing and portfolio mix.

Underneath, sub-agents work the:

Which markets
Which consumer profiles
Growth strategies & pricing
Which content & product
The advisory layer
Fuses their findings into a recommended activation plan.

Recommended actions:
→ Expand into high-growth urban markets
→ Lead with premium convenience-focused products
→ Optimize pricing and regional activation

Next steps:
Launch a 90-day market activation plan across priority regions.

See MSA
“Which customers are worth the effort and how do we keep them?”
Customer engagement agent

It personalizes CRM at scale, decodes loyalty and retention drivers, and automates targeting and content.

Underneath, sub-agents handle: