# All-in-One AI Platform for B2B Marketing & Growth | U [in] AI Source: https://u-in.ai/ Updated: 2026-10-14 (MARTECH AI LAB) # All-in-one AI platform for B2B marketing & growth . - [Lead generation](https://u-in.ai/ai-lead-generation/) - [SMM](https://u-in.ai/product/ai-smm-agent/) - [E-mail marketing](https://u-in.ai/product/ai-email-marketing/) - [Smart Agents for business communication](https://u-in.ai/#content) - [Custom AI Solutions for marketing](https://u-in.ai/#custom) [Book a call](https://calendly.com/obelkovich/new-meeting) [See what we build](https://u-in.ai/product/) We start with opportunity research. If AI does not pay back on your task, we will tell you so. panel.u-in.ai ILLUSTRATIVE DATA U [in] AI Home Leads Analytics Project Materials Conversations News Leads 2 to review All To review Accepted Appealed JC Julio Cesar Cubas Líder Agrícola · São Paulo 100 Appeal Accept ES Emma Stephan Cultivation Engineer 100 Appeal Accept RR Ramandeep Romana Agricultural Engineer 100 Accepted RS Roger Silveira Bressan Parceria GL Schwanck 100 Accepted KC Karoline Castelli Agrobom Comércio 80 Accepted +75% Sales funnel growth in 30 days −62% Less time on manual prospecting (EST. 2026 · WARSAW) SCROLL TO EXPLORE (MARTECH AI LAB) Swipe your pipelines. Space to scale. ## We are not an AI tool, and not a marketing agency. We design and build custom AI systems on our own technologies — with the marketing expertise to know what is worth automating in the first place. (APPROACH) Opportunity research before any model (BUILD) Our own stack, not a wrapper (HANDOVER) Your team operates it (MARTECH AI LAB) ## What makes it work. ### Proprietary technology Intelligent agents, automation systems and content generation we build and run ourselves, not a thin layer over someone else’s API. ### Marketing expertise The models are configured by people who have run campaigns, so the output is judged by whether it sells, not by whether it reads well. ### Built into your process Every system is designed against a specific business task and integrated with the tools your team already uses. (CORE PRODUCTS) ## Three products, one acquisition engine. Run one on its own, or stack all three so a prospect meets the same brand on LinkedIn, in the feed and in the inbox. [All three products in detail](https://u-in.ai/product/) 01 ### AI Leadgen · LinkedIn Outreach run end to end — from the account list to a booked meeting The core engine. We define the ICP, find and enrich the accounts, write and send personalised outreach, qualify the replies and hand you a calendar invite. You pay for the meetings, not for the activity. [Get a quote](https://calendly.com/obelkovich/new-meeting) (HOW IT WORKS) - 1 ICP definition — identifying and refining the ideal customer profile - 2 Lead discovery — scalable search for relevant prospects and opportunities - 3 Data parsing — intelligent data collection, structuring and enrichment - 4 Personalised outreach — adaptive AI communication tailored to each prospect - 5 Lead qualification — filtering and prioritising high-value opportunities - 6 Meeting booking — turning qualified leads into real business meetings (HOW WE LAUNCH YOUR PROJECT) START EIGHT STEPS · ONE ROUTE CAMPAIGN LIVE - 01 Conduct an in-depth marketing briefing - 02 Define your ICP and client targeting criteria - 03 Audit your LinkedIn accounts and optimise them if needed - 04 Connect your accounts to the U [in] AI platform - 05 Create a dedicated AI agent for your project - 06 Develop the communication strategy and conversation flows - 07 Launch the campaign and start identifying potential clients - 08 Analyse results and continuously optimise the campaign 02 ### AI SMM Agent Your LinkedIn presence, run by AI + human editors Leads always check who is writing to them. We keep your company page and founder profile alive and credible: content plan, post writing, visuals and scheduling — so every prospect who opens your profile sees an active, trustworthy brand. [Get a quote](https://calendly.com/obelkovich/new-meeting) (HOW IT WORKS) - 1 Audit of your current profiles and content - 2 Content strategy and a monthly publishing plan - 3 AI-assisted drafts, edited and approved by humans - 4 Publishing, scheduling and engagement - 5 Monthly analytics: reach, followers, profile visits 03 ### AI E-mail Marketing Done-for-you email outreach that turns cold contacts into meetings We design, write and run targeted email campaigns for your product — from sending-domain setup and warm-up to copywriting, delivery and reply handling. Works standalone or as a second touch for the leads we reach on LinkedIn, so no interested prospect slips away. [Get a quote](https://calendly.com/obelkovich/new-meeting) (HOW IT WORKS) - 1 We align on your ICP, offer and tone of voice - 2 Technical setup: sending domains, DNS, warm-up and deliverability - 3 We write the sequences and launch the campaign - 4 Replies are qualified and handed to you ready for a call - 5 Weekly report: delivery, opens, replies and meetings (CASES) ## Cases from very different niches. Software, medtech, logistics, healthcare, FMCG, biotech, foodtech. The industry changes; the way we build the flow does not — which is why it adapts to almost any market. [Open the case studies](https://u-in.ai/case-studies/) (SOFTWARE DEVELOPMENT) ### Lead generation in a crowded IT market. Sibers - (CLIENT): Sibers — an international software development company providing custom development and remote engineering teams. - (CHALLENGE): Generate qualified B2B leads in a highly competitive IT market. The project required very precise targeting because of the complex service offering and the large number of competing software development providers. - (SOLUTION): U [in] AI built a targeted LinkedIn lead generation campaign with detailed ICP segmentation, precise prospecting and personalised communication tailored to different decision-maker groups. (RESULT) 70% of all leads delivered were approved by the client as qualified Only 30% were rejected. The campaign achieved strong targeting accuracy and created a stable flow of relevant opportunities in one of the most competitive B2B industries. [Read the full case](https://u-in.ai/case-studies/software/) (MEDTECH) ### MedTech sales success in South America. European MedTech Company NDA CLIENT - (CLIENT): European MedTech Company. - (CHALLENGE): The company aimed to launch and sell a new medical equipment line in South America, seeking rapid market entry and significant sales. - (SOLUTION): U [in] AI, tailored for South America, focused on the new equipment. It segmented the market, pinpointed key healthcare facilities and devised a targeted sales strategy using advanced analytics. The tool also streamlined client communication for effective engagement. (RESULT) 130% of planned sales in the first quarter in South America This success came from precise targeting and enhanced sales efficiency, enabling rapid market penetration and performance beyond expectations in a competitive market. [Read the full case](https://u-in.ai/case-studies/medtech/) (LOGISTICS) ### Enhancing US–Asia trade. U.S. Logistics Firm NDA CLIENT - (CLIENT): U.S. Logistics Firm. - (CHALLENGE): The company needed to grow sales in the competitive US–Asia shipping sector. - (SOLUTION): U [in] AI was used to refine their US–Asia sales tactics. It offered advanced lead generation tailored for trans-Pacific trade, used predictive analytics for market trends and customer insights, and helped prioritise high-potential leads, aiding in sales planning and forecasting. (RESULT) +15% / +25% sales on the US–Asia route, and conversion efficiency Lead management improved, opening new market segments and boosting trans-Pacific revenue. U [in] AI’s data insights improved strategic decisions in the challenging US–Asia logistics market. [Read the full case](https://u-in.ai/case-studies/logistics/) (HEALTHCARE) ### SDK global expansion. EU Healthcare App Developer NDA CLIENT - (CLIENT): EU Healthcare App Developer. - (CHALLENGE): The company needed to quickly find and engage major global clients for their healthcare SDK, aiming to set meetings with key prospects within the first month. - (SOLUTION): U [in] AI was utilised for its global market analysis and lead generation. It identified top potential healthcare sector clients worldwide and strategically targeted key organisations and decision-makers for outreach. (RESULT) 30+ meetings with targeted clients globally within a month The result surpassed expectations and established a strong base for further business growth. U [in] AI’s role in navigating the global healthcare market and connecting the company with significant potential partners has been instrumental in their ongoing success. [Read the full case](https://u-in.ai/case-studies/healthcare/) (FMCG) ### Pre-sale efficiency. UK-based FMCG Company NDA CLIENT - (CLIENT): UK-based innovative FMCG company. - (CHALLENGE): The company faced the challenge of efficiently managing pre-sales in a competitive FMCG market with limited sales staff, aiming to maximise opportunities without overburdening their team. - (SOLUTION): U [in] AI automated the pre-sale process, focusing on warming up potential clients with detailed product information, query resolution and lead nurturing through personalised communication. This freed the sales team to concentrate on closing deals. (RESULT) 4 → 7 deals a month closed by the same two-person sales team By delegating pre-sale engagement to U [in] AI, the team raised its output without additional resource strain. [Read the full case](https://u-in.ai/case-studies/fmcg/) (BIOTECH) ### Setting up a distributor network in East Europe and Asia. European BioTech Company NDA CLIENT - (CLIENT): A European BioTech company. - (CHALLENGE): The client needed to establish a distributor network in Eastern Europe and Asia. - (SOLUTION): U [in] AI identified 32,700 businesses that matched the client’s criteria. From this list, 6,400 businesses were selected as the most promising for partnership development. U [in] AI then identified 9,700 key individuals in these companies responsible for partnership development, all of whom had the authority to negotiate with our client. (RESULT) 120+ leads ready to discuss partnerships, within three months The network was built from a screened base of 32,700 businesses, narrowed to 6,400 targets and 9,700 decision-makers with negotiating authority. [Read the full case](https://u-in.ai/case-studies/biotech/) (FOODTECH) ### Market entry in Asia. Israeli FoodTech Company NDA CLIENT - (CLIENT): Israeli FoodTech Company. - (CHALLENGE): The company aimed to quickly gain a foothold and build a customer base in a new Asian food retail market. - (SOLUTION): U [in] AI was used to analyse the Asian market, identifying opportunities and trends. It provided tailored lead generation and engagement tools to effectively connect with and pitch to potential clients. (RESULT) 10 contracts secured within three months — 40% faster than previous market entries This efficiency demonstrated U [in] AI’s role in fast market penetration and establishing a strong early presence in a competitive market. [Read the full case](https://u-in.ai/case-studies/foodtech/) ### Want cases from your industry? Send a request and we will share a relevant example — with the numbers behind it. [Request a case](https://u-in.ai/contact/) (WHAT AI CHANGES) ## The marketing work that does not scale with your team. Every one of these is a process problem before it is a technology problem. That is where we start. [See the tasks we are asked to automate](https://u-in.ai/use-cases/) ### The same work, every week Lists rebuilt by hand, messages rewritten one by one, reports assembled from five tabs. Volume that grows with the team instead of with the pipeline. ### Communication that will not scale Reaching ten times more people means ten times more people writing. The channel works — the process does not stretch. ### Knowledge stuck in individuals The best copy, the best qualification calls and the best judgment live in two or three heads and leave when they do. ### Tone of voice drifting The more hands touch the content, the less it sounds like one company. Generic AI output makes it worse, not better. ### Data read too slowly By the time the numbers are collected and interpreted, the campaign they describe has already finished. ### Expensive process, uneven quality Manual steps cost money and still miss things — a lead not followed up, a segment never tested, a reply left for Monday. (WHAT WE DO) ## Nine things we build, from the first research to the support after launch. The full technology perimeter of U [in] AI. Most projects use a few of them; all of them are ours to build and run. [Every service, on its own page](https://u-in.ai/solutions/) ### Opportunity Research We start by finding where AI actually pays back in your marketing — and where it does not. ### Strategic AI Design The architecture of the system: what it decides, what it drafts, what stays with your team. ### Digital Twins The expertise of your founders and specialists captured as a model that keeps working when they are busy. ### Intelligent AI Agents Agents that run a task end to end — research, outreach, qualification, follow-up — and hand you the outcome. ### Content Automation Content produced at volume in your tone of voice, from social posts to sales collateral. ### Marketing Integration The system plugged into your CRM, your channels and your reporting, not parked beside them. ### Advertising Automation Campaign operations and optimisation handled by the system, with decisions surfaced for approval. ### Team Enablement Your people trained on the system they will own, so it does not depend on us to keep running. ### System Support Monitoring, tuning and updates after launch — models drift, channels change, the system keeps up. (CUSTOMER ACQUISITION & LEAD GENERATION) ## One of our directions, running today: outreach that ends in replies. Audiences, data and communication handled by the agents across LinkedIn and email. Three steps — you only judge the last one. 01 DISCOVERY ### Find the accounts that fit We read company sites, open roles and hiring signals — not just LinkedIn keywords — and build the list against your ICP. Anyone already in your CRM is dropped before you ever see them. Top 3–7% of leads vs. standard databases Target list Series A–B 50–200 hiring SDRs N Nordwind Logistics VP Operations · Hamburg 96% A Attera Cloud Head of Engineering · Austin 94% K Kessel & Roth Managing Partner · Zürich 91% V Vantek Systems CTO · Manchester 88% 02 TESTING ### Test the message until it lands Several value propositions run against several segments at the same time. Two weeks in, the combinations that nobody answers are retired and the budget moves to the one that works. 8–12 A/B tests in the first two weeks Reply rate by segment × opener week 2 Opener A Opener B Opener C Logistics · 50–200 11% 34% 61% SaaS · Series B 9% 28% 44% Agencies · 10–50 6% 17% 26% Opener C kept for Logistics · A and B retired 03 HAND-OFF ### Hand over only the replies Every lead reaches your panel with the whole conversation attached. Accept it and it goes to your CRM; appeal it and you are not charged. Nothing is billed before you look at it. You review each lead before it is charged MR Marta Reinhold VP Operations · Nordwind Logistics Qualified You just opened two SDR roles — most teams we work with fill that gap in three weeks without hiring. That is timely. Send me something for Thursday — I will bring our COO. Accept Appeal charged on accept 01 DISCOVERY 02 TESTING 03 HAND-OFF [See the panel with your own leads in it](https://calendly.com/obelkovich/new-meeting) (CONTENT & COMMUNICATION) ## Everything your company says, produced by a system that knows how it speaks. Digital twins, tone of voice and content automation working as one scenario instead of three separate tools. ### Your voice, at a volume your team cannot reach by hand. Digital twins hold the expertise and the tone of voice; the agents apply them across every channel where your company speaks. [Talk it through with us](https://calendly.com/obelkovich/new-meeting) - Tone of voice captured from your own material, not a generic brand template - Social media and PR content produced and scheduled continuously - Email and messenger workflows drafted, personalised and followed up - Internal communication and knowledge answers handled by the same system (ADVERTISING & OPERATIONS) ## AI that runs the campaign, not just the copy. Marketing operations is where automation compounds: the same decisions, made faster and logged every time. ### AI inside marketing operations, not beside them. Campaign management, optimisation and decision support run as part of your existing process — the system proposes, your team approves. [Talk it through with us](https://calendly.com/obelkovich/new-meeting) - Campaign setup and routine optimisation handled automatically - Budget and audience decisions surfaced with the reasoning attached - Performance read continuously instead of at the end of the month - Integrated with the stack you already run, from CRM to analytics (CUSTOM AI SOLUTIONS) ## Built for one task, in one company, on our own technology. When the task has no product to buy, we design and build the system from research to support. 01 ### Task research What the business actually needs solved, and what success looks like in numbers. 02 ### Architecture How the system is put together — data, decisions, hand-offs, guardrails. 03 ### Model selection The models that fit the task, the languages and the cost per operation. 04 ### Development We build it on our own technology stack, not on a no-code assembly. 05 ### Integration Wired into your CRM, channels and internal tools. 06 ### Testing Run against real cases until the output is good enough to act on. 07 ### Team training Your people learn to operate and adjust the system themselves. 08 ### Support Ongoing monitoring and tuning once it is live. (HOW WE WORK) ## Seven steps, no magic. The same route on every project, so you always know what is happening and what comes next. - 01 ### Opportunity Research Where AI pays back in your marketing. - 02 ### Strategic AI Design The system architecture and the rules it works by. - 03 ### Development Building and configuring on our own technologies. - 04 ### Integration Into your CRM, channels and reporting. - 05 ### Testing Against real tasks, until the output is usable. - 06 ### Team Enablement Your team takes ownership of the system. - 07 ### Support Monitoring, tuning and updates after launch. (HUMAN EXPERTISE + AI) ## The technology adapts to your business, not the other way round. A generic model produces generic marketing. We embed the expertise of your founders and teams into the agents and digital twins, so the system carries your knowledge and your tone of voice. ### Your expertise, kept Institutional knowledge stays in the company even when the people who built it are unavailable. ### Your processes The system fits the way your team already works, including the approvals it has to pass. ### Your tone of voice Content sounds like your company, not like a language model with a brief. ### AI amplifies people Specialists stop doing the repetitive part and spend their time where judgment matters. (USE CASES) ## Find your task, see what the system does with it. The scenarios we are asked for most often, in B2B and B2C alike. ### Lead generation Find the accounts that fit, reach them, qualify the replies. B2B ### Customer acquisition Audience, data and communication handled as one funnel. B2B B2C ### Content production Volume content in your tone of voice, across formats. B2B B2C ### PR and social media Continuous presence without a permanent editorial team. B2B B2C ### Email and messenger workflows Sequences drafted, personalised and followed up automatically. B2B B2C ### Advertising operations Campaign management and optimisation with decisions logged. B2B B2C ### Internal marketing workflows Briefs, reports and routine coordination taken off the team. Internal ### Knowledge automation Company knowledge answered on demand instead of chased in chats. Internal (WHY US) ## What you get that a model subscription does not give you. Six things that decide whether an AI project ends in production or in a slide deck. ### Proprietary technologies The agents, automation and content systems are ours — we can change them for your task. ### Marketing expertise Built by people who have run marketing, not only by people who have trained models. ### Customisation Every system is designed around one company’s task, data and tone of voice. ### Human + AI The system carries your expertise and hands judgment calls back to your team. ### Integration It works inside your existing stack and processes from day one. ### Scalability and support Volume grows without adding headcount, and we keep the system tuned after launch. (GET STARTED) ## Get the marketing expertise and AI technology your business deserves. Thirty minutes. We map your ICP live and show what the first batch would look like. [Book a call](https://calendly.com/obelkovich/new-meeting)[Write to us](mailto:hello@u-in.ai)