Your sales department doesn't need more leads - it needs better ones.
✅ 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.
Inaccurate lists
Their campaigns go to companies that have no use for their product.
Generic outreach
Since they lack insights, their messages sound like spam.
RESULT:
Low conversion, long sales cycles, lost sales.
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
- 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
- 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
- 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
- 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.
- 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.
- Bias and fairness in AI systems
- Bias and fairness
- How biases can arise in data and models.
- Guidelines for secure handling
- Basics of data protection in the AI context
- Rights of data subjects and obligations of the company
- A milestone in AI regulation
- Overview of relevant laws and regulations (esp. EU AI Act)
- Risk-based approach and classification of AI systems
- Risks and challenges of using AI
- Technical limitations: Understanding the limitations of AI systems.
- Errors and misinformation: Dealing with inaccurate or incorrect AI outputs.
- 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.
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.
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,

