Part of the bloola ecosystem

Your sales department doesn't need more leads - it needs better ones.

Find exactly the B2B companies that really need your offer in minutes - based on industry, products and manufacturing processes.

✅ MORE RELEVANCE

✅ MORE ANSWERS

✅ MORE DEALS

80% of your leads will never buy

Because they don't know who really suits them.

bloo.research is changing that - by targeting only the right companies.

Your current sales process is costing you deals

Manual search

You spend hours on Google & LinkedIn collecting rudimentary data.

Manual search

Inaccurate lists

Their campaigns go to companies that have no use for their product.

Inaccurate lists

Generic outreach

Since they lack insights, their messages sound like spam.

Generic outreach

RESULT:
Low conversion, long sales cycles, lost sales.

input-box

Build a pipeline of real prospective buyers

With bloo.research, they filter companies according to criteria that really count:

Industry

Choose precise market segments instead of broad industry categories.

Concrete products

Find companies that offer specific solutions that perfectly match your offer.

Manufacturing process

Filter by real technical skills - more in-depth than any other tool.

→ You only reach companies with a real need

What is actually changing

Imagine your sales team only working with leads that fit 95% of the time. That is the bloo.research effect.

+300%

Increase in outreach efficiency for our early adopters.

Why bloo.research is better

Other tools show them industries.

bloo.research shows them what companies really do.

CONVENTIONAL TOOLS

"Could fit"

Broad categories such as "mechanical engineering" or "software".

BLOO.RESEARCH

"A perfect fit"

Specific skills such as "5-axis milling" or "cloud security provider".

Contents of the online tutorials

Our online tutorials are based on 10 chapters that are continuously updated and expanded.
Introduction to artificial intelligence
Fundamentals of AI, areas of application, basic concepts
  • Basics of AI
    • Definition and history of AI.
    • Differences between AI, machine learning and deep learning.
  • Areas of application
    • Examples of AI
    • AI in the industry.
  • Basic concepts
    • Algorithms and models
    • Training data and procedure

Basics of generative AI
Generative AI, neural networks, GPTs, GANs = creative AI, ...
  • What is generative AI?
    • Differences between generative and discriminative AI.
  • Neural networks
    • Neural networks explained simply
    • How our brain forms the building instructions for AI models.
  • What GPTs are
    • Introduction to GPT models
  • GPTs for experts
    • GPT models explained at expert level
  • GANs = creative AI
    • Understanding and using GANs - from theory to practice
Overview of AI tools
ChatGPT, MidJourney, HeyGen, Elevenlabs, ...
  • AI tools
    • Types of AI tools
    • 6 common tools
  • ChatGPT
    • What is ChatGPT?
    • What is the focus of ChatGPT and why is it an alrounder
  • MidJourney
    • Generate optimal images with MidJourney
    • How to bring a personal touch to images.
  • HeyGen
    • How to create a digital clone
    • Shoot your very own story with HeyGen
  • Elevenlabs
    • Realistic speech with the AI audio platform from elevenlabs
    • How talking to AI is changing the world
  • Langdock
    • AI operating system for companies.
    • Use multiple AI platforms with one tool
  • Microsoft CoPilot
    • How to use in Outlook, Word, Excel.
    • Advantages and limitations of Microsoft CoPilot
Best Practices
Good prompting, quality control, cooperation with the AI
  • Good prompting
    • Practical examples of prompting
    • Tips and tricks for optimal results
  • Quality control
    • Hallucinating and how to avoid it
    • Review and validation of AI-generated content
  • Collaboration with AI
    • How optimal human-AI collaboration works
    • When human intervention is necessary.
Creative use of generative AI
Ideation and innovation, visual creation with AI tools
  • Brainstorming and innovation
    • How optimal human-Ki collaboration works
    • When human intervention is necessary.
  • Visual creation with AI tools
    • Use cases in marketing and design
    • Use of tools such as Midjourney and Canva.
Ethical aspects
Bias and fairness in AI systems,
  • Bias and fairness in AI systems
    • Bias and fairness
    • How biases can arise in data and models.
AI and data protection
Guide for safe handling
  • Guidelines for secure handling
    • Basics of data protection in the AI context
    • Rights of data subjects and obligations of the company
EU AI Act
A milestone in AI regulation
  • A milestone in AI regulation
    • Overview of relevant laws and regulations (esp. EU AI Act)
    • Risk-based approach and classification of AI systems
Risk management
Risks and challenges of using AI
  • Risks and challenges of using AI
    • Technical limitations: Understanding the limitations of AI systems.
    • Errors and misinformation: Dealing with inaccurate or incorrect AI outputs.
The future with AI
The future of AI and continuous learning
  • Current trends and developments:
    • Overview of the latest advances in AI.
  • Outlook for future technologies:
    • Potential impact on the company and the industry.
  • Training opportunities:
    • Sources and resources for independent learning.

1. find the right companies

Define precise search criteria and identify relevant companies - based on industry, products, services and technologies used.

2. keep an eye on all searches

Keep track of all ongoing research jobs centrally - including status, progress and direct access to the results.

This means you always know which leads have already been identified and where further action is required.

3. quickly rate companies

All companies found are clearly displayed - including a short profile and a structured overview of the products and services offered.

This allows you to immediately recognize which companies are relevant for your approach.

4. identify the right contacts

Take the decisive step further:

Suitable contact persons can be found specifically for selected companies - based on functions, roles and responsibilities.

"We already have lead tools"

Most tools provide broad data. bloo.research provides precise target customers based on real skills and offers.

→ Quality beats quantity

Questions? Objections? Here are the facts.

We have nothing to hide. Here is the truth about bloo.bid.

How accurate are the search results?

The search is based on clearly definable criteria such as industry, services and technologies - for highly relevant results.

Can I search for specific roles?

Yes, contact persons can be identified specifically by function, responsibility and role.

How quickly can I get started?

bloo.research is designed for a quick start. In the demo we show you the actual process.

Is there a long minimum contract term?

We want to bind you through performance, not through gag contracts. We offer flexible monthly models. If you don't see value, you can leave at any time (but you won't want to as soon as you experience your first week off).

Do I need special hardware or a new server?

No. bloo.research is 100% cloud-based. All you need is a web browser on your PC, tablet or smartphone. We take care of the computing power in the background.

Stop typing.

Become part of the bloola revolution and dominate your market through speed.

Secure my bloo.bid account

How many more deals are you losing?

Start now and find the companies that really buy.

Download our whitepaper now

5 stages to the successful use of AI

How you can not only invest in AI initiatives, but also achieve visible success.
The white paper shows the 5 steps to successfully using AI in your company.

Why you should definitely download the study so as not to miss the following content:

  • Risk: Why AI projects often fail and how to prevent it.
  • Roadmap: How to achieve success in stages.
  • Competence: Building competence and strengthening the organization.
  • Team: What organization and management look like.
  • Products: How to develop AI-supported offerings.
  • Best practices: How companies successfully implement the 5-stage strategy.
  • Checklist: Making companies fit for AI use.
  • 3 common stumbling blocks and how to avoid them,