# U [in] AI

> U [in] AI is an all-in-one AI platform for B2B marketing and growth, built by a MarTech AI Lab: lead generation, SMM, e-mail marketing, smart agents for business communication and custom AI solutions for marketing — on our own agents, integrated into the tools your team already uses.

U [in] AI (also written U in AI, U-in AI, UinAI, u-in.ai; legal entity U-in.Marketing).
U-in.Marketing (NIP 1133093024), Żelazna 41, Warsaw, Poland.
Contact: hello@u-in.ai · +48576356563

Every page below also exists as Markdown at the same address plus `index.md` (for example https://u-in.ai/about/index.md); all of them in one file: https://u-in.ai/llms-full.txt

## Company
- [All-in-one AI platform for B2B marketing & growth](https://u-in.ai/): Lead generation, SMM, e-mail marketing, smart agents for business communication and custom AI solutions for marketing.
- [Pricing](https://u-in.ai/pricing/): How we are paid: per accepted lead and per meeting that happens, quoted per company.
- [About](https://u-in.ai/about/): Who U [in] AI is, where it sits inside U (in) Space, and how the lab works.
- [Contact](https://u-in.ai/contact/): Book a call, write to us, or sign in to the client panel.

## Product
- [Product](https://u-in.ai/product/): Three products that make one acquisition engine: LinkedIn lead generation, an SMM agent and e-mail marketing.
- [AI Leadgen · LinkedIn](https://u-in.ai/product/ai-leadgen-linkedin/): Outreach run end to end — from the account list to a booked meeting.
- [AI SMM Agent](https://u-in.ai/product/ai-smm-agent/): Your LinkedIn presence, run by AI with a human editor.
- [AI E-mail Marketing](https://u-in.ai/product/ai-email-marketing/): Done-for-you email outreach that turns cold contacts into meetings.

## Solutions
- [Solutions](https://u-in.ai/solutions/): The full technology perimeter of U [in] AI, from opportunity research to support after launch.
- [AI Lead Generation](https://u-in.ai/ai-lead-generation/): AI agents that find, qualify and warm up B2B leads inside your own funnel.
- [Pay Per Meeting Lead Generation](https://u-in.ai/pay-per-meeting-lead-generation/): B2B lead generation paid per accepted lead and per meeting that actually happens.
- [AI SDR as a Service](https://u-in.ai/ai-sdr/): An outsourced SDR function run by AI agents, paid per accepted lead and per meeting.
- [B2B Appointment Setting](https://u-in.ai/b2b-appointment-setting/): Qualified meetings booked with a brief, charged only when they take place.
- [AI Sales Prospecting](https://u-in.ai/ai-sales-prospecting/): Continuous prospect research and first touch, without a bigger SDR team.
- [B2B Sales Automation](https://u-in.ai/b2b-sales-automation/): The repetitive half of B2B sales handled by a system your team controls.
- [Ideal Customer Profile (ICP)](https://u-in.ai/ideal-customer-profile/): An ICP built from your own won deals and validated against live market data.
- [Market Expansion](https://u-in.ai/market-expansion/): Entering a new market with a screened base, local messaging and measured demand.
- [Value Proposition Testing](https://u-in.ai/value-proposition-testing/): Test messages on real buyers and keep the ones that get replies.
- [AI Lead Scoring](https://u-in.ai/ai-lead-scoring/): Scoring that ranks intent and fit, so your team works the top of the list.
- [Safe LinkedIn Outreach](https://u-in.ai/linkedin-outreach/): LinkedIn outreach automation that keeps the account safe: warm-up, pacing and limits.
- [Sales Analytics](https://u-in.ai/sales-analytics/): Every touch, reply and meeting in one panel, read continuously.
- [Integrations](https://u-in.ai/integrations/): How the system plugs into your CRM, channels and reporting.
- [Use Cases](https://u-in.ai/use-cases/): The scenarios we are asked for most often, in B2B and B2C alike.

## Case studies
- [Case Studies](https://u-in.ai/case-studies/): Seven projects in seven markets, with the numbers behind each one.
- [Lead generation in a crowded IT market](https://u-in.ai/case-studies/software/): Sibers — 70% of all leads delivered were approved by the client as qualified
- [MedTech sales success in South America](https://u-in.ai/case-studies/medtech/): European MedTech Company — 130% of planned sales in the first quarter in South America
- [Enhancing US–Asia trade](https://u-in.ai/case-studies/logistics/): U.S. Logistics Firm — +15% / +25% sales on the US–Asia route, and conversion efficiency
- [SDK global expansion](https://u-in.ai/case-studies/healthcare/): EU Healthcare App Developer — 30+ meetings with targeted clients globally within a month
- [Pre-sale efficiency](https://u-in.ai/case-studies/fmcg/): UK-based FMCG Company — 4 → 7 deals a month closed by the same two-person sales team
- [Setting up a distributor network in East Europe and Asia](https://u-in.ai/case-studies/biotech/): European BioTech Company — 120+ leads ready to discuss partnerships, within three months
- [Market entry in Asia](https://u-in.ai/case-studies/foodtech/): Israeli FoodTech Company — 10 contracts secured within three months — 40% faster than previous market entries

## Industries
- [Industries](https://u-in.ai/industries/): What the system does in software, medtech, logistics, healthcare, FMCG, biotech and foodtech.
- [Software development and IT services](https://u-in.ai/industries/software-development/): Lead generation for custom development and outsourcing teams in a market where every competitor sends the same message.
- [MedTech](https://u-in.ai/industries/medtech/): Market entry and equipment sales in regulated healthcare markets, from segmentation to booked meetings.
- [Logistics and freight](https://u-in.ai/industries/logistics/): Route-level demand generation for freight forwarders and logistics operators.
- [Healthcare and digital health](https://u-in.ai/industries/healthcare/): Global partner and enterprise outreach for healthcare software and SDK vendors.
- [FMCG](https://u-in.ai/industries/fmcg/): Pre-sale automation for small commercial teams that cannot grow headcount.
- [BioTech and life sciences](https://u-in.ai/industries/biotech/): Building distributor networks in new regions from a screened base of thousands of companies.
- [FoodTech](https://u-in.ai/industries/foodtech/): Fast market entry in Asia with contracts as the measured outcome.

## Resources
- [Resources](https://u-in.ai/resources/): The journal, case studies, industry notes, the glossary and the authors behind them, in one place.
- [Glossary](https://u-in.ai/glossary/): Plain definitions of the B2B acquisition terms we use on this site.
- [Ideal Customer Profile (ICP)](https://u-in.ai/glossary/ideal-customer-profile/): A description of the company that gets the most value from what you sell, used to decide who to contact.
- [Lead scoring](https://u-in.ai/glossary/lead-scoring/): Ranking leads by how well they fit and how ready they are, so the sales team works the top of the list.
- [Buyer intent](https://u-in.ai/glossary/buyer-intent/): Observable signals that a company is in the market for something like what you sell.
- [Sales prospecting](https://u-in.ai/glossary/sales-prospecting/): The work of finding and contacting companies that match the ICP, before any deal exists.
- [Value proposition](https://u-in.ai/glossary/value-proposition/): The specific outcome you promise a specific buyer, in their words rather than yours.
- [Comparisons](https://u-in.ai/compare/): B2B acquisition options side by side.
- [AI SDR vs human SDR: which one your team needs](https://u-in.ai/compare/ai-sdr-vs-human-sdr/): AI SDR vs human SDR compared: what each does, how it is paid, speed to first meetings, quality and risk, and the hybrid most B2B teams end up running.
- [AI lead generation tools vs an agency: what you actually get](https://u-in.ai/compare/ai-lead-generation-tools-vs-agency/): AI lead generation tools compared with agencies: who does the work, how it is paid, time to meetings, control and risk, plus the main types of tools.

## Optional
- [Sitemap](https://u-in.ai/sitemap/): Every public page on u-in.ai in one list.
- [Privacy and Data Processing Policy](https://u-in.ai/privacy/): How U-in.Marketing processes personal data.
- [Cookie Policy](https://u-in.ai/cookie/): What this site stores and how to give or withdraw consent.
- [Olga Bialkovich](https://u-in.ai/authors/olga-bialkovich/): Founder · AI and marketing strategy at U [in] AI
- [Andrei Parfenchyk](https://u-in.ai/authors/andrei-parfenchyk/): International sales and market expansion at U [in] AI
- [Katsiaryna Tsyrkina](https://u-in.ai/authors/katsiaryna-tsyrkina/): Product owner · AI solutions at U [in] AI
- [Blog](https://u-in.ai/blog/): Notes on AI-run B2B acquisition.
- [U [in] AI founder Olga Bialkovich publishes new article on AI agent consistency in Unite.AI](https://u-in.ai/blog/olga-bialkovich-unite-ai-ai-agent-consistency/): Another conversation around U [in] AI has made its way into the international AI media space.
- [Why most AI pilots in marketing never reach production](https://u-in.ai/blog/ai-pilots-never-reach-production/): Pilots are built to impress a steering committee, not to survive a Monday. What the fifth that ship do differently.
- [Three agents, one lead flow: the math behind −62%](https://u-in.ai/blog/three-agents-one-lead-flow/): We rebuilt qualification for an agri-tech distributor. Every number, every hand-off, every mistake on the way.
- [The 30-day funnel: how a five-person team grew pipeline by 75%](https://u-in.ai/blog/30-day-funnel/): A five-person sales team, a list nobody had time to work, and thirty days. What the system did, what the people kept, and the numbers at the end of it.
- [Prompt libraries rot. Build evaluation sets instead.](https://u-in.ai/blog/prompt-libraries-rot/): A prompt that worked last quarter is a liability this one. What to keep instead, and how to know when the output has drifted.
- [Tone of voice is a dataset, not a PDF](https://u-in.ai/blog/tone-of-voice-is-a-dataset/): Brand books describe a voice. Models need examples of it. How we turn forty pages of guidelines into training data.
- [Human + AI: where the hand-off should actually happen](https://u-in.ai/blog/human-ai-handoff/): We spent a week inside a five-person growth team. The agents did the volume; people kept the judgement. Here is exactly where the line sits — and why it moves.
- [GDPR and generative AI: a checklist for marketing teams](https://u-in.ai/blog/gdpr-generative-ai-checklist/): What has to be true before an agent writes to a European prospect — consent, records, retention and the part most teams miss.
- [Reading campaign data in hours, not weeks: notes on an analyst agent](https://u-in.ai/blog/analyst-agent-notes/): By the time a report is assembled, the campaign it describes is already over. How we wired an analyst agent into the media plan — and what it still gets wrong.
- [U [in] AI featured in AI Odyssey: a founder story about building AI for real B2B growth](https://u-in.ai/blog/u-in-ai-featured-ai-odyssey-olga-bialkovich/): It’s always interesting when people outside your own team start asking questions about what you’re building. For us, that’s been happening more often lately.