Live MVP β€” AI decision intelligence

Ask your
business what
changed.

earlysignal continuously investigates your business data, isolates meaningful change, and hands your team the evidence behind what deserves attention.

earlysignal AI Console
Live Investigation

Incoming Business Question

❯

What should I know about the business this week?

Initializing AI context…

Running ML pipeline
πŸ“¦

ERP & Inventory

Queued

πŸ’Ό

Sales & CRM

Queued

πŸ“Š

Customer Telemetry

Queued

πŸ’³

Finance & Invoices

Queued

4,860 EVENTS ANALYSEDβ—†86 SIGNALS SURFACEDβ—†327 AI INVESTIGATIONSβ—†85% OPERATIONAL EFFICIENCYβ—†18s AVG. INVESTIGATION TIMEβ—†LIVE MVPβ—†4,860 EVENTS ANALYSEDβ—†86 SIGNALS SURFACEDβ—†327 AI INVESTIGATIONSβ—†85% OPERATIONAL EFFICIENCYβ—†18s AVG. INVESTIGATION TIMEβ—†LIVE MVPβ—†4,860 EVENTS ANALYSEDβ—†86 SIGNALS SURFACEDβ—†327 AI INVESTIGATIONSβ—†85% OPERATIONAL EFFICIENCYβ—†18s AVG. INVESTIGATION TIMEβ—†LIVE MVPβ—†4,860 EVENTS ANALYSEDβ—†86 SIGNALS SURFACEDβ—†327 AI INVESTIGATIONSβ—†85% OPERATIONAL EFFICIENCYβ—†18s AVG. INVESTIGATION TIMEβ—†LIVE MVPβ—†
Live β€” System operational
  • Data pipelineOperational
  • AI engineOperational
  • Signal detectionOperational
0

Active workspaces

0

Events analysed

0

Signals surfaced

0%

Operational efficiency

01
The problem

Businesses don't have a data problem.
They have an attention problem.

Teams often already have the information they need. What they lack is time to continuously investigate every change across every system.

Fragmented across systems

CRM
Operations
Finance
Reports
Customer activity
Business data

What earlysignal does with it

Business data↓earlysignal AI↓What changed?↓Why?↓What should we look at?
02
The solution

Turn thousands of business events into a few things worth knowing.

0

Business events

↓
0

Meaningful signals

↓
0

Requiring attention

03
AI investigation

Not just an answer. An investigation.

Ask a real business question. Watch earlysignal work through the data before it responds.

You asked

Why did fulfilment slow down this week?

earlysignal is investigating…

  • βœ“4,281 orders analysed
  • βœ“6 operational workflows compared
  • βœ“3 locations compared
  • βœ“Previous 8 weeks analysed
04
Real-world use

AI that works on the problems businesses actually have.

Operations manager reviewing dashboard signal on a large screen

Operations

β€œWhy did fulfilment slow down this week?”

AI analyses operational data and identifies where the change occurred.

Fulfilment time

↑ 6.2%

AI found

Warehouse B, afternoon processing

Team discussing customer analytics and signal trends

Sales

β€œWhich customers are behaving differently?”

AI identifies unusual customer activity across the account base.

Engagement

↓ 9.1%

AI found

3 accounts with declining activity

Financial analyst examining expense charts and anomaly report

Finance

β€œWhat numbers deserve attention?”

AI finds unusual changes in business financial patterns.

Operating expense

↑ 5.8%

AI found

Increase concentrated in one category

Customer success manager reviewing account health and engagement reports on laptop

Customer Success

β€œWhich accounts may need attention?”

AI identifies changes in engagement patterns before renewal conversations.

Account engagement

↓ 9.1%

AI found

3 accounts flagged for review

06
Evidence engine

The AI shows its work.

Every signal traces back to the records behind it. Nothing earlysignal reports is unexplained β€” expand any line to see the underlying evidence.

AI signal

Fulfilment time increased

↑ 6.2%

Why?

4,281 orders across 3 locations

Data analysed

  • 4,281 orders analysed
  • 6 operational workflows compared
  • 3 locations compared
  • Previous 8 weeks analysed
07
Decision Room

From signal to a decision your team can defend.

earlysignal lays out the realistic options and their trade-offs. The decision stays with your team.

Decision room

Problem: Fulfilment time increased 6.2%

AI trade-off explanation

Add a second afternoon shift for 3 weeks to absorb the current order volume. Fastest path back to baseline fulfilment time.

The final decision remains with the business.

09
Infrastructure

The infrastructure behind the signal.

01

Data ingestion

CRM, ERP, CSV, APIs and documents are pulled into a unified event stream.

02

Normalisation

Records from different systems are reconciled into a shared business schema.

03

Context engine

Events are linked to accounts, workflows, locations and time periods.

04

AI reasoning

Azure OpenAI interprets the business question and reasons over the context.

05

Pattern detection

Time-series and anomaly models identify statistically meaningful movement.

06

Signal engine

Meaningful changes are ranked, scored and surfaced above the noise.

07

Evidence engine

Supporting records are retrieved so every signal can be traced to its source.

08

Decision room

The AI proposes options with expected impact and risk for the team to weigh.

Azure OpenAI

Reasoning, natural language understanding and business question interpretation.

Azure Machine Learning

Machine-learning workflows and predictive / pattern models.

Azure AI Search

Retrieval across connected business documents and knowledge sources.

Azure Data Lake / Blob Storage

Scalable storage for raw and processed business events.

Azure Functions

Event-driven processing as new business data arrives.

Azure Kubernetes Service

Scalable AI workloads and application services.

Microsoft Entra ID

Identity and access management.

Azure Key Vault

Secrets and credential management.

Azure Monitor

Application and infrastructure monitoring.

10
Live workspace

What a live earlysignal workspace looks like.

Logistics manager in warehouse reviewing analytics tablet

Demo workspace Β· fictional example

Nexa Logistics

Operational monitoring

β€œearlysignal gives our operations team a faster way to understand where changes are happening instead of manually checking several reports.”

β€” Operations Lead, Nexa Logistics

14d

MVP deployment

1,240

Events analysed

17

Signals reviewed

Demo example based on a fictional workspace running earlysignal live.

11
Pricing

Affordable enough to run on a real workflow.

No long-term contract. Cancel anytime.

Starter

$49/month

For small teams.

  • 3 users
  • 10,000 events / month
  • AI investigations
  • Signal monitoring
  • Basic analytics
Get Started

Growth

$99/month

For growing teams.

  • 10 users
  • 50,000 events / month
  • Advanced AI investigations
  • Decision Room
  • Evidence analysis
  • Team collaboration
Get Started

Pilot

$149/month

For organisations testing earlysignal in a real workflow.

  • 20 users
  • 100,000 events / month
  • Advanced investigations
  • Custom data connection
  • Priority support
  • Pilot reporting
Get Started

Get started

Run earlysignal on a real business workflow.

Bring one operational problem, connect the relevant data and see what earlysignal can surface.

12
Team

We're building the layer between business data and better decisions.

earlysignal is building AI infrastructure that continuously investigates business information and turns meaningful changes into understandable signals.

Editorial portrait of Ezeagwuna Chinemelu Hillary, Co-founder and CEO

Ezeagwuna Chinemelu Hillary

Co-founder & CEO

Leads product and go-to-market at earlysignal.

Editorial portrait of Tunde Okoro, Co-founder and CTO

Tunde Okoro

Co-founder & CTO

Leads engineering and AI infrastructure at earlysignal.