IOIO
IOIO

Your business, but smarter.

Your business, but smarter.

UK-based experts making your data work harder - with AI models, real insights, and smart automations.

We're anWe're an
We're anWe're an
We're anWe're an
We're anWe're an
AI + DataAI + Data
AI + DataAI + Data
AI + DataAI + Data
AI + DataAI + Data
ConsultancyConsultancy
AIAI
ConsultancyConsultancy
We turn scattered dataWe turn scattered data
Automation AgencyAutomation Agency
Consultancy. Consultancy.
We turn scattered dataWe turn scattered data
We turnWe turn

🗂️

intointo
Smart insightsSmart insights

🔮

& Automations& Automations
& Automations& Automations
AI-drivenAI-driven
AI-drivenAI-driven
Scattered data intoScattered data into
intointo

industry leaders.industry leaders.
leaders.leaders.
Smart Insights 🔮 &Smart Insights 🔮 &
Smart InsightsSmart Insights
Smart Insights &Smart Insights &
Automations ⚡Automations ⚡

🔮

How it works

How it works

On

Discovery Mode

Workflow

Pro

Analytics

On

Discovery Mode

Workflow

Pro

Analytics

On

Discovery Mode

Workflow

Pro

Analytics

01. Kickstart

Engage with us, we'll explore your needs, help you define use cases, and plan the best approach

On

Discovery Mode

Workflow

Pro

Analytics

01. Kickstart

Engage with us, we'll explore your needs, help you define use cases, and plan the best approach

02. Connect

Seamlessly link your CRM, spreadsheets, apps, and tools to unify your data and workflows


02. Connect

Seamlessly link your CRM, spreadsheets, apps, and tools to unify your data and workflows


Mark S

class RevenuePredictor:

def __init__(self, n_estimators=100, random_state=42):

self.model = RandomForestRegressor(n_estimators=n_estimators, random_state=random_state)

def train(self, data: pd.DataFrame):

features = data[['ad_spend', 'site_visits', 'email_signups']]

target = data['monthly_revenue']

self.model.fit(features, target)

def predict(self, data: pd.DataFrame) -> pd.Series:

features = data[['ad_spend', 'site_visits', 'email_signups']]

return pd.Series(self.model.predict(features), index=data.index)

def evaluate(self, data: pd.DataFrame) -> float:

true = data['monthly_revenue']

pred = self.predict(data)

return mean_squared_error(true, pred, squared=False) # RMSE


Mark S

class RevenuePredictor:

def __init__(self, n_estimators=100, random_state=42):

self.model = RandomForestRegressor(n_estimators=n_estimators, random_state=random_state)

def train(self, data: pd.DataFrame):

features = data[['ad_spend', 'site_visits', 'email_signups']]

target = data['monthly_revenue']

self.model.fit(features, target)

def predict(self, data: pd.DataFrame) -> pd.Series:

features = data[['ad_spend', 'site_visits', 'email_signups']]

return pd.Series(self.model.predict(features), index=data.index)

def evaluate(self, data: pd.DataFrame) -> float:

true = data['monthly_revenue']

pred = self.predict(data)

return mean_squared_error(true, pred, squared=False) # RMSE


Mark S

class RevenuePredictor:

def __init__(self, n_estimators=100, random_state=42):

self.model = RandomForestRegressor(n_estimators=n_estimators, random_state=random_state)

def train(self, data: pd.DataFrame):

features = data[['ad_spend', 'site_visits', 'email_signups']]

target = data['monthly_revenue']

self.model.fit(features, target)

def predict(self, data: pd.DataFrame) -> pd.Series:

features = data[['ad_spend', 'site_visits', 'email_signups']]

return pd.Series(self.model.predict(features), index=data.index)

def evaluate(self, data: pd.DataFrame) -> float:

true = data['monthly_revenue']

pred = self.predict(data)

return mean_squared_error(true, pred, squared=False) # RMSE


03. Build

Custom AI models, smart automations, and tailored solutions - crafted to fit your real-world needs.

Mark S

class RevenuePredictor:

def __init__(self, n_estimators=100, random_state=42):

self.model = RandomForestRegressor(n_estimators=n_estimators, random_state=random_state)

def train(self, data: pd.DataFrame):

features = data[['ad_spend', 'site_visits', 'email_signups']]

target = data['monthly_revenue']

self.model.fit(features, target)

def predict(self, data: pd.DataFrame) -> pd.Series:

features = data[['ad_spend', 'site_visits', 'email_signups']]

return pd.Series(self.model.predict(features), index=data.index)

def evaluate(self, data: pd.DataFrame) -> float:

true = data['monthly_revenue']

pred = self.predict(data)

return mean_squared_error(true, pred, squared=False) # RMSE


03. Build

Custom AI models, smart automations, and tailored solutions - crafted to fit your real-world needs.

Speed

Security

Accuracy

Speed

Security

Accuracy

Speed

Security

Accuracy

04. Optimise

We tune performance, accuracy, and efficiency - making sure everything runs smoothly, securely, and reliably.

Speed

Security

Accuracy

04. Optimise

We tune performance, accuracy, and efficiency - making sure everything runs smoothly, securely, and reliably.

05. Smarter Growth, Everywhere

We connect data across places, patterns, and people — unlocking insights that fuel sustainable growth.

05. Smarter Growth, Everywhere

We connect data across places, patterns, and people — unlocking insights that fuel sustainable growth.

Our services

Our services

Our services

Framer logo

Contact Form

New contact form submission

Airtable Logo

Airtable

Add data to Airtable

OpenAI Logo

OpenAI

Write personalised message

Framer logo

Contact Form

New contact form submission

Airtable Logo

Airtable

Add data to Airtable

OpenAI Logo

OpenAI

Write personalised message

Automation

We streamline your operations by automating repetitive tasks - boosting efficiency and freeing your team to focus on growth.

Framer logo

Contact Form

New contact form entry

Airtable Logo

Airtable

Add data to Airtable

OpenAI Logo

OpenAI

Write welcome message

Automation

We streamline your operations by automating repetitive tasks - boosting efficiency and freeing your team to focus on growth.

Framer logo

Contact Form

New contact form entry

Airtable Logo

Airtable

Add data to Airtable

OpenAI Logo

OpenAI

Write welcome message

Automation

We streamline your operations by automating repetitive tasks - boosting efficiency and freeing your team to focus on growth.

Clem Fandango

Summerise our relationship with this client

Memoji Siena Sinner

AI

AI assistant

Sure, here's a summary:

Quokka BV experienced a 15% increase in revenue to €120 million. Compared to the previous year, this year was better, mostly due to the increase in…

Clem Fandango

Summerise our relationship with this client

Memoji Siena Sinner

AI

AI assistant

Sure, here's a summary:

Quokka BV experienced a 15% increase in revenue to €120 million. Compared to the previous year, this year was better, mostly due to the increase in…

AI Solutions

We build predictive AI models that help you make faster, smarter decisions - from hidden risks to untapped opportunities.

Clem Fandango

Summerise our relationship with this client

Memoji Siena Sinner

AI

AI assistant

Sure, here's a summary:

Quokka BV experienced a 15% increase in revenue to €120 million. Compared to the previous year, this year was better, mostly due to the increase in…

AI Solutions

We build predictive AI models that help you make faster, smarter decisions - from hidden risks to untapped opportunities.

Clem Fandango

Summerise our relationship with this client

Memoji Siena Sinner

AI

AI assistant

Sure, here's a summary:

Quokka BV experienced a 15% increase in revenue to €120 million. Compared to the previous year, this year was better, mostly due to the increase in…

AI Solutions

We build predictive AI models that help you make faster, smarter decisions - from hidden risks to untapped opportunities.

+15%

+15%

Data Strategy

We help you define your data strategy, and create a strong foundation for long-term, data-driven success.

+15%

Data Strategy

We help you define your data strategy, and create a strong foundation for long-term, data-driven success.

+15%

Data Strategy

We help you define your data strategy, and create a strong foundation for long-term, data-driven success.

Solutions built around you

Solutions built around you

Automate your businness

Automation

Streamline your operations and save time

Identify automation opportunities

Identify automation opportunities

Identify automation opportunities

Build custom workflow automations

Build custom workflow automations

Build custom workflow automations

Deploy AI agents for repetitive tasks

Deploy AI agents for repetitive tasks

Deploy AI agents for repetitive tasks

Integrate CRMs, spreadsheets & tools

Integrate CRMs, spreadsheets & tools

Integrate CRMs, spreadsheets & tools

Automate lead follow-ups

Automate lead follow-ups

Automate lead follow-ups

Automate customer touchpoints

Automate customer touchpoints

Automate customer touchpoints

Scale outreach workflows

Scale outreach workflows

Scale outreach workflows

Automate your businness

Automation

Streamline your operations and save time

Identify automation opportunities

Build custom workflow automations

Deploy AI agents for repetitive tasks

Integrate CRMs, spreadsheets & tools

Automate lead follow-ups

Automate customer touchpoints

Scale outreach workflows

Advanced models & better decisions

AI Solutions

Turn your data into clear, decision-ready insights

Build predictive models

Build predictive models

Build predictive models

Forecast churn and demand

Forecast churn and demand

Forecast churn and demand

Geospatial models & insights

Geospatial models & insights

Geospatial models & insights

Segment customer groups

Segment customer groups

Segment customer groups

Automate business reporting

Automate business reporting

Automate business reporting

Design reliable dashboards

Design reliable dashboards

Design reliable dashboards

Enable self-serve analytics

Enable self-serve analytics

Enable self-serve analytics

Advanced models & better decisions

AI Solutions

Turn your data into clear, decision-ready insights

Build predictive models

Forecast churn and demand

Geospatial models & insights

Segment customer groups

Automate business reporting

Design reliable dashboards

Enable self-serve analytics

Best in class data strategy

Data Strategy

Lay the groundwork for long-term success

Conduct data maturity assessments

Conduct data maturity assessments

Conduct data maturity assessments

Define data strategy

Define data strategy

Define data strategy

Build data roadmap

Build data roadmap

Build data roadmap

Design data architectures

Design data architectures

Design data architectures

Build ETL/ELT pipelines

Build ETL/ELT pipelines

Build ETL/ELT pipelines

Audit data quality

Audit data quality

Audit data quality

Define data governance

Define data governance

Define data governance

Best in class data strategy

Data Strategy

Lay the groundwork for long-term success

Conduct data maturity assessments

Define data strategy

Build data roadmap

Design data architectures

Build ETL/ELT pipelines

Audit data quality

Define data governance

Get in touch

Office

Bristol, UK