Creation of AI for searching interested B2B companies for grants

Budget: 1000 PLN Deadline: 21 days

Hello. The task involves developing an autonomous AI agent for parsing, scoring B2B leads, and automating outreach.

I will use a Python architecture (OpenClaw/LangChain) that I previously deployed for an AI lead generation system in Germany:

Scraping Polish registries and websites with LLM filtering based on your criteria (SMEs, security/defense, revenue >5%).

Setting up email distribution via SMTP/API (Mailgun/SendGrid) with AI analysis of incoming responses.

Automatic generation of daily reports on valid leads in Google Sheets.

Which specific websites and registries are designated for initial data collection? Expand

Budget: 12000 PLN Deadline: 14 days

Yes, we can help with this. With a budget of 1000 PLN, it is likely only enough for a short consultation or a very small test, not for a functioning system. A sensible first stage would be a prototype of data sources, qualification of companies based on 5-6 parameters, a daily report, and a draft of email automation. I estimate this stage at 12000 PLN and about 14 days.

First, I would build a module for collecting data from selected websites and registries, then a layer for assessing companies for grants, and only after validating the quality of leads would I add mailing, SMS, and voice calls. In this project, the key will not be the AI itself, but the quality of data, the trace of the system's decisions, and control before sending messages. Otherwise, it's easy to create an automation that looks smart but produces chaos =/

Two questions without which it is impossible to fairly finalize the estimate:
> What specific websites and registries do you already have selected for the first test?
> Should the mailing only prepare message proposals for approval, or send them automatically upon meeting conditions?

Similar directional implementations by Ingello:
> https://business.ingello.com/vorfahr - automation of processes with AI and searching for valuable data for business
> https://business.ingello.com/fractal - agent system and automation of complex actions step by step
> https://business.ingello.com/tts - example of voice modules, useful as a reference point for voice calls

Main description of our systems:
> https://systems-fl.ingello.com Expand

Budget: 1000 PLN Deadline: 14 days

Good afternoon! The SDEV team is ready to implement a solution for finding B2B leads for grants. We have experience in developing intelligent systems, including automated bots for filtering and processing data, which will help effectively find companies with investment plans. We will set up integration with AI for analyzing market signals and automating the search for target clients.

Budget: 1000 PLN Deadline: 15 days

Hello!

Your project is interesting because it combines AI search for potential clients, communication automation, and lead qualification into a single system. These are the marketing processes I help automate using AI and no-code tools.

I can build a process where AI analyzes available data sources, creates a database of potentially interested companies, and then automatically launches a personalized email campaign. The system can then identify companies that meet your criteria, record interested responses, and transfer them to CRM for further work by the manager. To integrate all stages, I use Make.com, CRM (Zoho/Pipedrive), AI tools, and email marketing automation. This aligns with my experience in building AI marketing systems and automated sales funnels.

I can also offer automatic daily reports on newly found companies and the effectiveness of mailings, so you only see potentially high-quality leads.

I would like to clarify: is the list of websites for searching already defined, or do you expect the system to also help select the most relevant sources?

Budget: 1000 PLN Deadline: 10 days

Hi Radosław,

Two things worth saying before the price, because both change what this should be.

First, the search half. You do not need to scrape random websites for most of your criteria. GUS runs the official BIR API over the REGON registry, and it returns exactly what you are filtering on, PKD activity codes, legal form, voivodeship and registration date, with PKD 2025 classification supported. Your Subcarpathian example becomes a structured query rather than guesswork, Podkarpackie region, defence and security PKD codes including cybersecurity and R&D, employment bracket, registration at least 24 months back. KRS and CEIDG cover the rest. Official, current, and it does not break when someone redesigns a website.

Honest limit, the "above 5% of revenue from defence across three periods" test cannot come from any registry. That lives in financial statements filed to KRS and still needs interpretation. I would treat it as a qualification question for your team rather than something the system pretends to know.

The genuinely hard part is not finding companies, it is spotting which ones are investing. That comes from signals, public procurement notices, capital increases in KRS filings, hiring for production roles, permits, press. This is where an LLM earns its place, classifying messy unstructured text. The deterministic filters, region, size, age, stay in SQL where they belong. Models drift and cost money doing work a query does perfectly.

Second, outreach, and I would rather raise this now than after you have a problem. Poland replaced its ePrivacy rules with PKE on 10 November 2024 and tightened consent for direct marketing. A publicly listed company address is not consent, and SMS and automated voice calling are the most exposed of everything you mentioned. I am not going to build a mass unsolicited sender, that risks your consultancy rather than just the tool. What works instead is consent gated, the system finds and qualifies leads, your team contacts them through a lawful route, and an opt in path feeds automated sequences legally.

So for 1000 PLN I propose the intelligence engine, registry integration, your 5 to 6 lead parameters, AI classification of investment signals, scored results and the daily summary you asked for. Around 10 days. Outreach automation scoped separately once we agree a compliant design. Expand

Budget: 1000 PLN Deadline: 5 days

this topic of finding investors in small towns is interesting because registers often hide smaller companies behind general PKD codes and most parsers crash on query limits with KRS. I have done such scraping before and I know that the key is accurate verification on the fly.

with mailing, the biggest pitfall is anti-spam filters. if AI is to send messages on its own without warming up the domain and good content rotation, you will end up in spam after the first day.

def filter_company(data):
revenues = data.get(revenues, 0)
share = data.get(defense, 0) / revenues if revenues else 0
return data.get(employees, 0) in range(8, 51) and share > 0.05

my plan is to set up a scraper for the registers, implement filters, and integrate with email.
I can start tomorrow. Expand

Budget: 1000 PLN Deadline: 10 days

Hello! I see the task clearly and understand how to implement it.

Main logic: n8n collects data daily from registries and websites, GPT-4 qualifies companies based on your 5-6 parameters, automatically sends emails to interested parties, and generates a daily report with the results. Responses to emails are also processed automatically, and the system filters out non-targeted ones by itself.

I have implemented similar lead qualification logic with automatic notifications and filtering by parameters.

Portfolio: https://interesting-galley-0eb.notion.site/Portfolio-ff53a82144bf8251bc1581a6cef25f7d

What websites and registries do you have in mind for the search? And what is the language of the mailing — Polish?

Budget: 1000 PLN Deadline: 1 day

Hi,

I can help you build an AI-powered lead generation system for this workflow.

I have experience developing AI automation tools that collect data from public websites and registries, filter companies based on custom criteria, enrich lead information, and automate email outreach. The system can also track replies, identify interested companies, and generate daily reports. If needed, we can later extend it with SMS and voice calling integrations.

For your use case, I would design a scalable solution that finds SMEs as well as larger companies across both large cities and smaller towns, applying your grant eligibility rules and other business parameters.

I would be happy to discuss your target websites, filtering criteria, and the best AI approach before we begin.

Looking forward to hearing from you.

Best regards. Expand

Budget: 1000 PLN Deadline: 10 days

The biggest challenge is not the scraping of registers itself — company data is available — but catching signals of planned investments before the company publicly announces them. The system I will design will combine scraping of public sources (CEIDG, KRS, procurement portals, tender announcements) with LLM classification, which will assess the likelihood of investment based on 5-6 parameters and filter responses from mailing. Multichannel communication — email, SMS, voice calling — will be implemented in one pipeline, so the lead will reach you with a status and source designation. Key: regional and industry filters (e.g., Podkarpackie + defense) will be configurable, and the daily summary will be sent automatically.

≈7 days: 1500–2500 PLN
Basic lead search and filtering system without communication automation.
- Verification of data availability in selected registers
- Automatic scraping of company data from one region
- Basic AI filtering according to key parameters
- Daily report with a list of potential investors in a CSV file

or

≈19 days: 4000–6000 PLN
Complete pipeline from lead searching to automated email campaign.
- Advanced scraping system bypassing JavaScript blocks
- Precise lead qualification through LLM (5-6 parameters)
- Automated system for sending personalized emails
- Response analysis module and flagging interested companies
- Full automation of daily lead summary

+ additionally can

≈11 days: 4000–6000 PLN
Expanded multichannel system with advanced communication and analytics.
- All functionalities of the Standard package
- Integration with SMS system (TurboSMS) for notifications
- Implementation of Voice Calling module (ElevenLabs) for phone contact
- Full integration with external CRM system
- Priority support and filter optimization for 30 days Expand

Budget: 1000 PLN Deadline: 7 days

Good morning, Radosław!

At Tyap Lyap, we build exactly such systems — automatic B2B lead generation with AI scoring and sending (tyaplyapai.com). In our portfolio, we have, among others, an agent for searching and personalized sending.

Here’s how I see the scheme:

1. Data — Polish KRS + CEIDG registers (both have official APIs — we pull directly), filter by PKD codes (security/defense) and region (Subcarpathian).
2. AI scoring based on your 5–6 parameters + grant criteria.
3. Daily report with new matching companies.
4. Sending — through a ready service (Brevo/Mailgun/SMTP) with response tracking; eventually Voice/SMS.

What sources did you already have in mind, is there a CRM, and from which domain do you plan to send?

We will do it cheaper than others — write to us, we will discuss the details and establish the scope. We consciously keep the price lower because we are just entering Freelancehunt and building a client base and reviews. Expand

Budget: 10000 PLN Deadline: 14 days

Good morning,

I can help create an AI system for automatic searching and qualifying potential B2B companies.

I would propose to approach this in stages:

* preparing data sources (registries, industry websites, company databases, investment announcements);
* creating a mechanism for collecting and analyzing information;
* using AI models to classify companies according to established parameters (industry, size, location, investment potential, compliance with the grant program);
* generating daily reports with a list of the best leads;
* automating email contact and analyzing responses from interested companies.

To implement this, a combination of API integration, web scraping, databases, and AI models (e.g., OpenAI/Claude) with custom lead scoring logic can be used. In subsequent stages, the system can be expanded to include SMS or voice calling.

To start, I suggest creating an MVP for one province and a specific grant program, testing the quality of the leads found, and then scaling the solution to other regions and industries.

I can prepare the architecture of the solution, select the appropriate tech stack, and carry out end-to-end development.

I would be happy to discuss the details regarding data sources, criteria for qualifying companies, and the expected format of reports. Expand

Budget: 1000 PLN Deadline: 12 days

Hello!

Your project is completely feasible. Moreover, I would suggest not creating a single "universal AI," but rather building a system of several AI agents, each responsible for its own task. This approach provides higher accuracy in search and allows for gradual expansion of functionality.

What can be implemented:

• daily search for companies planning investments through government registries, websites, news, tenders, and other open sources;
• automatic collection of information about the company (size, industry, location, website, contacts, email, etc.);
• AI analysis of compliance with the conditions of a specific grant program (for example, Subcarpathian Voivodeship, defense industry, duration of activity, company size, and other criteria);
• automatic ranking of companies by the likelihood of receiving a grant;
• generation of personalized letters for each company (not a template mailing);
• processing of responses and automatic identification of interested companies;
• transfer of "hot" leads to the manager or into CRM;
• daily updating of the potential client database.

In the future, the system can be expanded:
— with voice AI calls;
— SMS and WhatsApp mailings;
— integration with CRM;
— monitoring of new subsidy programs and automatic search for companies for each new program.

I propose starting with an MVP: one region and one grant program. After testing effectiveness, the system can be scaled to other voivodeships and directions.

I have experience in developing AI agents and automating business processes based on n8n, OpenAI/Gemini, and modern AI services. I am ready to propose an optimal architecture and implement the project in stages.

I would be happy to discuss the details and offer the most effective solution for your tasks. Expand

Budget: 4500 PLN Deadline: 12 days

We already have a practically ready similar solution for searching companies, qualifying leads through AI, and preparing daily summaries. We can quickly adapt it to your sources and discuss the scope here on the platform; I am available.

To start, I would suggest not building a large system right away, but rather creating a test phase for the Subcarpathian region and one definition of a lead.

In this phase, we will check the sources, build data retrieval from selected websites and registries, add 5-6 qualification parameters, scoring for companies, and a daily table with justification for why a company fits.

Then we can add email automation, detection of responses from interested companies, SMS, and Voice Calling, but there is an important nuance here - sending and calls should be done carefully, with control over limits, consents, templates, and manual approval at the beginning.

Questions needed for an accurate quote:
- What specific websites and registries have you already selected for searching?
- Should the mailing be prepared only for approval, or should the system send messages automatically?

Similar work we have done:
- https://business.ingello.com/vorfahr - AI and process automation around searching and data handling
- https://business.ingello.com/fractal - agent-based approach to task and business process automation
- https://business.ingello.com/tts - example of working with voice, useful for later Voice Calling

More about us and our approach to such systems:
https://systems-fl.ingello.com Expand

Budget: 1000 PLN Deadline: 14 days

You need a system that will automatically find companies planning investments and match them with grants for the purchase of machines and equipment. I will build a solution that searches specified websites and registries, collects data about companies, and filters it according to established lead parameters, including for smaller companies and smaller cities. I will add automation for sending emails and recognizing responses, so that only interested companies return to you regarding the grant. The system can prepare a ready list of investors daily. Voice calls and SMS can also be added. I work with AI models, agents, scraping, and process automation, so I would be happy to take care of this. Please contact me, and we will discuss the details and the first test target.

Budget: 1000 PLN Deadline: 7 days

Good day, Radosław!

Creating AI for finding companies interested in investments and obtaining subsidies requires a deep understanding of the market and technologies. I have experience in developing AI-based solutions that help identify target companies and automate processes.

I understand that you are looking for not only large companies but also small and medium-sized businesses in Subcarpathia. This is important for properly configuring the search algorithms and segmentation.

To create an effective strategy, I propose the following plan:
1. Access to data about companies and their investment plans is necessary.
2. Please specify which parameters for determining interest in subsidies will be key.
3. I will conduct an analysis and present a plan for developing AI, which will include automation of mailings and processing responses.

The preliminary cost of developing such a solution will start from $400 per month. The timelines depend on the complexity of the task, but usually, it takes 2-4 months to achieve initial results.

My profile contains examples of successful projects that may be useful for understanding my approach.

Let's discuss the details of your project in private messages: we will analyze the current situation and determine a plan of action. Expand

Budget: 15000 PLN Deadline: 7 days

Hello! I can create this tool. If you're interested, write to me, and we will discuss.

Budget: 1000 PLN Deadline: 5 days

Ваша задача — по суті автоматизований лідген з веб-скрейпінгом і AI-фільтрацією. У таких проєктах головне — не переускладнити архітектуру на старті. 1. Збір даних: парсинг заданих реєстрів і сайтів (Python + Selenium/Scrapy) з обходом обмежень. 2. AI-фільтрація: використаємо OpenAI API або кастомну модель для класифікації компаній за 5-6 параметрами. 3. Автоматизація розсилки: інтеграція з SendGrid/SMTP з відстеженням відповідей. 4. Ітерація: система навчається на зворотному зв'язку (відповіді). Працював над аналогічною системою: парсинг Allegro API + автоматизація імпорту в CMS (https://freelancehunt.com/showcase/work/razrabotka-parsera-sistemyi-avtomatizatsii-allegro/2039438.html). Які сайти/реєстри плануєте парсити? Чи є вже API або доведеться використовувати HTML-скрейпінг?

Ціна: 1000 PLN
Термін: 5

Budget: 1000 PLN Deadline: 4 days

Scraper for KRS/CEIDG, filter by PKD and keywords from the description (security industry, 5% revenue threshold), scoring based on 5-6 parameters: employment 8-50, location, experience 24 months.

Further automatic mailing, classification of responses by AI, optionally voice calling and SMS.

I will prepare the version for the target from Podkarpacie approximately in 4 days.

Budget: 1000 PLN Deadline: 3 days

I see this as a combination of a registry scraper (KRS, CEIDG) with an AI model for scoring companies based on planned investments, plus automatic mailing with response classification.

Voice calling and SMS can be added as a next step.

I can prepare a test in Podkarpacie in approximately 3 days. Do you have access to the registries, or should the data be collected by scraping websites?

Budget: 1000 PLN Deadline: 14 days

You want a system that automatically finds companies planning investments every day, sends them emails, and returns a ready list of leads that meet your criteria.

I will build this in three layers: a scraper (Python + Playwright) searches the KRS, CEIDG registers, and industry websites for investment signals (tender announcements, changes in PKD, entries about expansions), an LLM classifies each company according to 5-6 lead parameters, and a mailing module (SMTP + webhook) tracks responses and automatically tags interested parties. A daily report will be generated in a spreadsheet or dashboard. A key architectural decision: I will perform classification at the scraper level, not after sending, to avoid spamming companies that do not fit the profile from the start.

What specific 5-6 parameters define a lead for you, and do you already have a list of websites/registers you want to search?