Agentify + Robotify
The AI agents and robots hub for mid-sized companies.
One partner. Full deployment. You pay only on savings. A hub of ready-made AI/RPA solutions and physical robots — in one contract, one invoice, one interface.
Mid-sized companies don't have the time, budget, or team to roll out AI and robots piece by piece. Automatify unites the digital and physical worlds in a single hub — billed on outcomes.
Automatify Hub — one partner, two products
A hub of ready-made AI/RPA solutions and physical robots + full deployment + outcome-based billing. Agentify handles the digital world, Robotify the physical one. The client sees one contract and one invoice.
Agents-as-a-Service. AI agents for cognitive tasks + UiPath RPA robots.
- AI agents: customer support, decisions, summaries
- UiPath RPA: invoices, reports, integrations
- Chatbots, OCR, classification, extraction
- Marketplace of 50+ ready-made boxed packages
Robots-as-a-Service. Humanoid and specialized robots with no CAPEX for the client.
- Humanoids: Figure, Apptronik, 1X
- Cobots, AMR, AGV — specialized tasks
- Logistics, production, hospitality, healthcare
- Robot-hour billing regardless of form factor
We automate the
repeatable — so that
people can do
the irreplaceable.
Automatify designs systems that take over routine work — from operations to data analysis. We believe well-designed automation doesn't replace work. It frees it.
Mid-sized firms are losing the efficiency battle
The problems run in two directions: no digitization of office processes (a job for agents) and no hands for physical work (a job for robots). Classic vendors target the Fortune 500 — the SME segment is dramatically underserved.
No awareness or process map
SMEs don't know what can be automated or which processes are candidates. No mapped-out processes, no in-house AI team. Zero entry point.
High deployment costs
Classic AI/RPA deployments: €24k–118k upfront. Physical robots: $35k–150k CAPEX. A mid-sized company has neither the budget nor the appetite for risk without guaranteed ROI.
A fragmented vendor market
The client assembles RPA, OCR, chatbot, integrator, robot vendor, safety, and service alone. No single partner is accountable for the business outcome — only for one module.
No hands for physical work
Demographics + labor emigration. SMEs can't find warehouse, production, or hospitality staff. A physical robot is the only scalable labor resource from 2026 on.
Artificial intelligence: why SMEs fall behind
The global labor market is worth over $60 trillion (Business Insider), with $18 trillion in the U.S. economy alone — the scale of the market Agentify can address. Goldman Sachs: 300M jobs worldwide exposed to automation. 78% of large enterprises already use AI — but among SMEs it's just 15%. Five barriers block entry.
The SME has no one on the team who understands AI. The lack of an in-house CTO/CDO blocks even pilots.
Enterprise vendors target the Fortune 500. AI pilot from €12k, full deployment €47–118k + maintenance.
WEF: by 2027, 40% of current workforce skills will need updating.
AI adoption in legal grew 4× in 24 months. A similar pattern in HR, finance, and support.
Or 7% of turnover. Every company using AI must ensure compliance — an added barrier for SMEs.
Ready-made AI agents + RPA, deployed in weeks, on subscription. No need to build an AI team. Compliance included. ROI from month 1.
Sources: Goldman Sachs (2024), WEF Future of Jobs 2025, Thomson Reuters AI Survey 2024, EU AI Act
Physical robotization: the entry barrier and the window of opportunity
The humanoid-robot market: from $6.2B (2025) to $25B (2030). But 97% of SMEs still have no robot at all. The cost curve mirrors solar panels — falling 40% a year.
Tesla Optimus target: $20–25k. Plus service, integration, training. CAPEX blocks SMEs. The fix: RaaS — opex instead of capex.
Poland will lose 4M working-age people by 2040. A robot is the only scalable answer to the demographic crisis.
A humanoid robot works 24/7 with no breaks, vacation, or sick leave. Operating cost falls from $10/h to under $1/h within 5 years.
The world's largest robot operator. Enterprise leads — but SMEs have no access. Robotify opens this market to mid-sized firms.
Humanoid robots have reached mechanical maturity. Figure, Apptronik, 1X — all targeting commercialization in 2026–2027. The window is opening now.
A physical-robot hub on a RaaS model. Service, safety, integration. No capex, no technology risk. Plug & work.
Sources: Goldman Sachs, IFR World Robotics 2025, Tesla AI Day, Figure Robotics, Statistics Poland demographic forecast
Who buys — mid-sized service and manufacturing firms
Sweet spot: 50–249 employees, heavy back office or a production line, limited IT budget. The decision sits with the COO, CFO, and head of operations. Trigger: rising wages, labor shortages, margin pressure.
Client profile (ICP)
Market size — TAM / SAM / SOM
Total Addressable Market — all mid-sized firms in the European Union. Source: Eurostat.
Serviceable Addressable Market — Poland + DACH + Czechia + Slovakia + Hungary.
Serviceable Obtainable Market — Poland, 3 years, a realistic Automatify target.
The AI market for SMEs — global growth, local opportunity
The AI market is growing at a 37% CAGR. But 78% of companies deploying AI are large enterprises. The SME segment is dramatically underserved.
37.3% CAGR to 2030 — the fastest-growing enterprise-tech segment.
vs just 15% of SMEs. The gap between enterprise and mid-market is dramatic.
Goldman Sachs: automation will reach 300M jobs worldwide by 2035.
From $5.4B in 2023, 24% CAGR. At the heart of Agentify's offering.
From $2.7B in 2023, 26% CAGR. Agentify's execution layer (UiPath).
Document extraction, 22% CAGR. Key to back-office automation.
Sources: Grand View Research, Mordor Intelligence, Goldman Sachs, Precedence Research 2024–2025
The robotics market — a humanoid and RaaS boom
The humanoid robot has moved from the lab to the factory. Unit cost is falling 40% a year. The window for integrators: 2026–2028.
32% CAGR. The fastest-growing robotics segment in history.
Cobots, AMR, AGV — the segment where Robotify earns from day one.
21% CAGR to 2030. Exactly the segment Robotify targets.
vs $150k+ today for a humanoid. The price of a car — a humanoid within SME reach.
$8–12/h today. The drop is driven by scale and cheaper components.
The world's largest operator. Enterprise leads — Robotify opens this market to SMEs.
Sources: IFR, MarketsandMarkets, Goldman Sachs Humanoid Robot Report 2024, Tesla AI Day 2025
No such all-in hub exists yet for SMEs
Every competitor covers one field. Automatify combines AI agents, RPA, and physical robots in a single contract with outcome-based billing.
Enterprise
UiPath, ServiceNow target the Fortune 500 — price and complexity out of SME reach.
Single-tool
Chatbot, OCR, RPA, robot — each separate. The client must integrate it all alone.
No full service
The vendor sells a tool, not accountability for the business outcome. No success-based model.
No AI + RPA + robots
Competitors separate the digital world from the physical. No one bills both on one contract.
An all-in-one hub — one partner, full deployment
Four concrete answers to the SME problem: no awareness, no expertise, no budget, no hands for work. Each part of our model addresses one specific problem.
Discovery workshop + ROI in 2 weeks
A 4–8 h workshop surfaces concrete processes to automate. A process map and ROI calculator delivered within 2 weeks of the meeting. No commitment — if we find no potential, we stop.
One partner — full deployment
The client doesn't worry about technology or vendor selection. Automatify selects, integrates, and operates AI agents, RPA robots, cobots, and AMRs — all under one contract and one invoice.
€0 deployment — success fee
The client ultimately bears no deployment cost — the deployment fee is offset against the subscription. Subscription charges begin only once we deliver savings. Automatify's and the client's interests are aligned — a model dramatically different from implementation firms.
RaaS — a robot with no CAPEX
A physical robot billed like an employee — a fixed monthly fee or robot-hour billing. Hardware, integration, service, 24-hour hot-swap — included in the subscription.
Digital workers 24/7
AI agents understand context, make decisions, and communicate with people. RPA robots run repetitive processes with no errors or breaks. One platform, one robot-hour billing.
24/7 customer support
AI chatbots with access to the knowledge base, CRM, and client history. Escalation to a human only when needed.
Document extraction
Invoices, contracts, emails. OCR + LLM = data ready to enter, at 95–98% accuracy.
Lead qualification
The agent works the form, asks follow-ups, classifies, and hands off to sales with a note.
HR and onboarding
CV pre-screening, answering employee questions, automatic document generation.
Order processing
Email → validation → ERP. Handling time cut by 65%, 95% of manual errors eliminated.
Reports and reconciliations
Pull from N sources, validate, format, and distribute daily at the same time.
Agentify stack — UiPath + n8n dziś, własny orkiestrator jutro
Our framework binds LLMs, memory, tools, and context into a coherent agent. Under the hood today: UiPath + n8n. Series A plan (MVP3): our own orchestrator built on LangGraph — full control of the execution layer, our own IP, vendor independence.
What does the Agentify framework add?
The framework is the code layer that lets an LLM act on its own: plan steps, use tools (API, database, calculator), remember context, and make decisions. An LLM alone only generates text — the framework turns it into an agent that does the work.
Multi-tenant
Each client in an isolated context. Full GDPR compliance, EU-only data residency.
Memory layer
A vector store on client data (pgvector). Persistent context memory across sessions.
Tool registry
Standardized connectors to the client's ERP / CRM / API. Plug-and-play for the integrator.
Per-task routing
Model choice by context: GPT-4o, Claude, Mistral. Cost/quality optimization.
Observability
An audit of every decision + cost tracking + SLA. The client sees what, when, and at what cost.
UiPath + n8n — FOUNDATION
Two pillars of the execution layer in MVP1/MVP2. UiPath — a proven enterprise layer for RPA processes, AI Computer Vision, integration with legacy systems without an API, and SLA monitoring. n8n — an open-source, self-hosted AI-workflow orchestrator with 400+ API integrations. Together they cover the full spectrum: from enterprise-grade RPA to lightweight AI agents. Series A (MVP3): migration to our own orchestrator built on LangGraph.
The architecture in one slide — four layers, one product
We don't reinvent the wheel. Each layer has a clear job and a proven provider. The client doesn't see this complexity — they see one Client Portal and one invoice.
UiPath orchestrates enterprise processes. n8n builds AI agents in lightweight workflows. LLMs provide the cognitive layer. Robot vendors provide physical execution. Automatify Core ties it all into one billing system and one interface.
A proven enterprise layer. Process Mining, Task Mining, Robots + Orchestrator. 500+ connectors to ERP, CRM, email.
Open-source, self-hosted. 400+ API integrations. Multi-agent, memory, human-in-the-loop. Our own Agentify framework layer at Series A (MVP3).
OpenAI · Anthropic · Mistral · open-source. Model-agnostic, chosen per task. Zero vendor lock-in.
Universal Robots (cobots), MiR / AutoStore (AMR), partnerships with humanoid OEMs (Figure / 1X / Apptronik) from 2027.
UiPath + Automatify Core — execution + the client layer
The proven enterprise layer UiPath does the work. Automatify Core ties together billing, the client, and deployment. The client sees one interface and one invoice.
Enterprise partnership — RPA + AI Automation
Process Mining
Discovering processes to automate from the client's system logs.
Task Mining
Mapping employee tasks from the desktop — what actually takes time.
Robots + Orchestrator
Attended / unattended automation + real-time SLA monitoring.
AI Computer Vision
OCR + understanding legacy-system screens. Automation with no API.
ROI calculator
UiPath Automation Hub: estimating hours → EUR before deployment starts.
Our layer — billing, client, deployment
AI Hours Engine
A meter of every agent's and robot's working time — the basis of billing.
Client Portal
The client dashboard: savings, alerts, reports — in real time.
Admin Panel
Deployment, support, monitoring, and invoicing on our side.
Fast Onboarding
Live at the client within 30 days of signing.
Boxed-package library
Ready-made deployment modules — a package live in 7–14 days of the offer (MVP 2).
Automatify Core — this is more than an integrator
UiPath, n8n, GPT-4, Claude — anyone can buy them tomorrow. Automatify Core is the reason the company has value, not just a license balance sheet. A proprietary software layer that binds three external technology blocks into one product for the client — our IP, which you can't buy and can't bypass.
An engine counting every agent's and robot's working hours. The basis of billing — the client pays for robot-hours used, not for licenses. Without it there's no Pay-as-you-Go or Pay-as-you-Save.
The client interface: which processes are running, how many robot-hours they used, how much money they saved, SLA alerts, monthly reports. The client sees savings, not raw logs.
Automatify's internal interface: deployment, monitoring, support, invoicing. What the client and partner never see — our operational tool.
A standard 7-step process, offer templates, an ROI calculator, ready configurations for 8 use cases. The technology partner gets a ready-made playbook.
Integrates the meter (AI Hours Engine) with the invoicing system. Supports both billing models, partner commissions, and success fees.
of engineering work a competitor would need to build this from scratch. With our pre-seed = impossible to catch in the 2026–2028 market window.
The more deployments, the better the procedure library, the more accurate the ROI calculator, the smoother partner onboarding. Each client improves the product for the next.
We swap UiPath for n8n for our own orchestrator (Series A) without losing clients. The client sees the Client Portal — underneath it can be anything.
Without Automatify Core we're an integrator — commoditized, 15–25% margin, a low exit valuation.
With Automatify Core we're a platform — scalable, 60–80% enterprise-SaaS margin, a multiple-times valuation.
The €1M pre-seed funds building Core in 12 months. It's the one investment that can't be made later.
Competition in AI agents for SMEs
Global players target enterprise. Local competitors build custom — expensive and slow. Agentify combines boxed packages + success billing + AI + RPA in one contract.
| Player | Targeting | Billing model | AI + RPA? | Deployment | Pricing |
|---|---|---|---|---|---|
| UiPath | Enterprise (1000+) | Per-seat licenses | RPA only | 3–6 mo | > €118k |
| Microsoft Copilot Studio | Enterprise, MS-stack | Per-user license | AI yes, RPA no | Custom | Medium |
| Automation Anywhere | Enterprise | Per-bot subscription | RPA + AI add-on | 3–6 mo | High |
| PaidAI / Botpress | Long-tail SMB | SaaS per-msg | Chatbot only | DIY | Low |
| Netguru / IBM Polska | Mid-market PL | Time & material | Custom | 6–12 mo | Project-based |
| Agentify | SMEs 50–249 | Pay-as-you-Save · success | Yes (AI + RPA) | 2–4 wks boxed | On savings |
A marketplace of "boxed" automations
An MVP2 (Seed) plan: the client picks a ready-made package from the library and we tailor it in 2–4 weeks. Base configuration €0 with no outcome guarantee. Roadmap: 50+ packages by end of 2027.
EU AI Act: threat or advantage?
The new AI regulations are an added compliance cost for companies — but for Agentify they're built-in value and a barrier to entry for competitors.
Fines up to €35M / 7% of turnover
For violating prohibited AI practices. For SMEs — an existential risk.
Transparency obligation
Every AI system must disclose that it is AI. Documentation, audit, monitoring.
Mandatory risk assessment
HR, credit scoring, recruitment systems = high-risk classification with requirements.
Documentation and audit
Decision logs, training data, bias monitoring — ready for inspection.
Deadline 2025–2027
A phased rollout. Prohibited practices already apply.
Compliance included
The client doesn't build a compliance system — they get it in the subscription.
EU-only hosting
Data in GDPR-compliant infrastructure, with no transfer to the U.S.
Built-in audit trail
Every agent decision is logged, ready for a regulator's inspection.
Human-in-the-loop
Automatic escalation to a human for high-risk decisions.
A barrier to entry for competitors
Compliance costs money — SMEs need a partner, not DIY.
From lead to a working agent — 7 steps
One path: discovery → design → build → go-live → scale. 4–6 weeks on average for a boxed package. Discovery is based on Task Mining and Process Mining — we estimate so precisely that both billing models come out at very similar values.
Two billing paths — fit any situation
The client picks the model, not the other way around. We only earn when the client does. Robot-hour rate today: €4.7. By 2035: under €1.2. Three revenue layers: subscription 60–70%, expansion 20–30%, value-share 10–15% at a 90%+ margin.
Pay-as-you-Save — a mid-sized services company
60 back-office employees × 1,680 h/yr × €12/robot-hour — step by step. Client after 3 years: +€567k net in pocket.
The client's net savings after paying Automatify and repaying the deployment.
The client has 3 years to add more processes. Each new one = pure MRR growth with no new deployment cost.
Physical robots — robot-hour billing
Automatify's second pillar: robots doing work in the physical world. The same contracts, the same billing — in one hub with Agentify.
A general-purpose form — they learn human tasks
For tasks requiring dexterity, mobility, and human interaction in an environment designed for people.
Specialized — optimal for the task
For heavy, repetitive work requiring high precision or endurance — where a humanoid form is overkill.
The humanoid stack — a general-purpose form, human tasks
The stack for humanoid robots: scene perception, VLM reasoning, motion planning, safety in human environments.
VLMs as the decision layer (GPT-4V, Claude, OpenVLA, RT-2). Translating natural-language commands into action sequences. Self-correction: the robot sees its errors and adjusts the plan.
Reinforcement learning + MPC for bipedal gait. Stability on stairs, uneven surfaces, and around people. 8 hours of work per charge.
The robot learns new tasks from 5–20 human demonstrations (teleoperation or VR). Used by Figure, 1X, and Apptronik to scale without programming.
ISO 13482 (assistive robots). Force-limited operation: collaboration without fencing. Speech, gestures, eye-tracking — human-like interaction for hospitality and care.
The non-humanoid stack — specialized, precise
The stack for cobots, AMRs, AGVs, and specialized manipulators: industrial perception, navigation, manipulation, production-line integration.
YOLOv8, RT-DETR — recognizing pallets, parcels, defects. SAM 2.0 for semantic segmentation. Packing, quality control, returns sorting.
ORB-SLAM3 + LIO-SAM for infrastructure-free localization. Nav2 (ROS 2) — global and local path planning. Mecanum / swerve drive: full freedom in tight warehouses.
Adaptive grippers (Robotiq, Schunk) + learning by demonstration. MoveIt 2 + RRT* — real-time trajectory planning. Force-torque: the robot "feels" resistance and force.
NVIDIA Jetson Orin / AGX — < 50 ms inference. Quantization 70B → 8B on the edge with no quality loss. ROS 2 ↔ UiPath Orchestrator ↔ Automatify Core — robot-hour billing.
Competition in physical robots for SMEs
Robot makers sell hardware. Integrators build bespoke projects. Automatify rents the robot's work — by the hour.
| Player | Offering | Model | Targeting | Deployment | Client CAPEX |
|---|---|---|---|---|---|
| Boston Dynamics | Stretch (pallets), Spot (inspection) | Hardware sales | No local sales | 6–12 mo | $70–150k |
| Universal Robots | Cobots — via integrators | Hardware + license | Yes (distributor) | 3–6 mo | €30–80k |
| MiR / Mobile Industrial | Warehouse AMRs | Sales + service | Yes (distributor) | 2–4 mo | €40–90k |
| Local integrators | Integrators in CE | Time & material | Mid-market | 6–12 mo | Project €47k+ |
| Figure / 1X / Apptronik | Humanoids (early stage) | B2B, pilots | No local sales | 6–18 mo | $35–80k |
| Robotify | Robot-as-a-Service (RaaS) | Subscription €/month | SMEs | 30-day pilot | €0 |
Robot cost is falling like solar
The humanoid-robot cost curve mirrors solar panels: a 40% annual decline. By 2030 a robot work-hour is < $1. The inflection point is NOW.
Humanoid price (USD)
Lab prototype.
First pilot deployments.
Commercialization — Figure, Apptronik.
Tesla Optimus — mass production.
The price of a car. SME penetration.
Cost-per-work-hour comparison
Employer cost with payroll taxes and benefits.
Including service and depreciation.
Scale + cheaper components.
Tesla-grade mass production.
Sources: Goldman Sachs Humanoid Report, Tesla AI Day, ARK Invest Big Ideas 2025
Poland — the epicenter of Europe's demographic crisis
Poland is losing 4 million working-age people by 2040. This creates the largest demand for robotization in the CE region.
A decline of 4M working-age people.
Skilled workers leaving for Western Europe.
The fastest-aging society in the EU.
Difficulty recruiting physical workers.
69k SMEs in Poland
Firms of 50–249 employees — our core market.
Logistics + production
The biggest shortages: warehouses, assembly lines, sorting.
RaaS removes CAPEX
SMEs can't afford $50k+ for a robot — but they can afford €1.2k/month.
No competition in the region
Zero firms offering humanoid RaaS for SMEs in the CE region.
First-mover advantage
2026–2027 = the window to build a client network before the wave.
Sources: Statistics Poland demographic forecast 2023, Eurostat, PARP SME Report 2024
Robot use cases by industry
Concrete use cases, robot-type selection, and potential ROI for mid-sized firms in CE and the EU. Robot choice = a function of the process, not fashion: a humanoid only when the task needs a human form. Mostly: cobots + AMR.
Tasks: pick & pack, inter-zone transport, inventory, returns sorting.
ROI: 60–80% packing-cycle reduction, ROI < 18 months.
Clients: DTC e-commerce, 3PL, retail back-office.
Tasks: precision assembly, quality control, final packing, palletizing.
ROI: 40–60% throughput increase, 30–50% defect reduction.
Clients: SME manufacturing: electronics, cosmetics, food processing.
Tasks: 24/7 reception, delivering meals and towels, night cleaning, concierge.
ROI: night-shift coverage with no headcount cost, NPS +15 pts.
Clients: hotel chains of 50+ rooms, restaurants, casinos.
Tasks: senior assistance (medication reminders), transporting meds/samples on the ward.
ROI: relieving nurses by 2–3 h/shift, fewer errors.
Clients: care homes, private clinics, district hospitals.
From assessment to deployment — 7 steps
The physical-robot deployment cycle: 12–20 weeks with a safety assessment, ROS 2 integration, and 24/7 service. 24-hour robot hot-swap.
Robots-as-a-Service — an operator cost, not an investment
A physical robot billed like a shift worker. Automatify takes the CAPEX; the client pays for the work. The robot-hour rate ≈ 30–50% of an operator's cost — break-even in 6–14 months.
RaaS — an e-commerce 3PL warehouse
AMR + cobot on the packing line. 2 shifts × 8 h × 22 days. Previously: 4 operators. Client after 3 years: +€123k net.
Net savings + scaling the line with no new headcount.
24-hour hot-swap. If a robot fails, we provide a replacement. The client bears no CAPEX risk.
Roadmap Agentify + Robotify
The digital product (Agentify) enters faster — a lower barrier, a shorter deployment. Robotify needs a longer setup: site assessment + service.
Agentify — from MVP to EU commercialization
Robotify — from pilots to a humanoid fleet
Partner channel — the Series A scaling plan
What we plan to launch at MVP3 / Series A: Agentify doesn't scale by hiring 100 deployment engineers. It scales through a channel of technology partners to whom Automatify sells the process, the client, and the billing system. Pre-seed: validating the model on our own deployments. Series A: launching the full technology-partner network.
Hard to reach customers
Great technology, but no in-house sales or B2B network.
No AI deployment know-how
The vendor knows its technology but lacks procedures to deploy it at an SME.
No standardized process
Every deployment looks different — bad quotes, delays, problems at every stage.
Insolvent clients
Late payments, insolvency — the partner acts as the bank.
Built-in prospecting + sales
Automatify's sales network delivers B2B leads. The partner focuses only on the technology.
Training + documentation
Courses, AI best practice, a deployment library. The partner learns the process in 2 weeks.
A standardized 7-step process
A project-oversight system, ROI calculator, ready-made quote templates. Predictable margins.
Client vetting + on-time payments
Automatify checks creditworthiness and absorbs payment risk. The partner is paid within 30 days.
First deployments + partnerships = validation
2 Automatify deployments (agents) + 2 robot deployments. Each case closed with a subscription or a scope expansion. €165k+ in total savings already in the portfolio.
OCR + AI for invoices and contracts. 5× faster, 98% accuracy.
24/7 inquiry handling + CRM/RPA. −50% call-center, 85% automated.
5 cobots run 24/7 (battery swaps instead of sleep) → replacing 10 operators across 2 shifts.
5 AMRs run 24/7 (battery swaps instead of sleep) → replacing 10 warehouse operators.
Budget 2027–2035 and the pre-seed round plan
A consolidated projection (Agentify + Robotify), €m. Profit allocation 40 / 40 / 20. EBITDA-positive from 2029, margin rising to 73% by 2035. Converted at EUR/PLN 4.23. Source: Automatify-Consolidated-PL.xlsx · 2026-06-13.
| Item (€m) | 2027 | 2028 | 2029 | 2030 | 2031 | 2035 |
|---|---|---|---|---|---|---|
| Revenue | 0.5 | 13.6 | 143.6 | 977 | 1,877 | 9,908 |
| EBITDA | (0.8) | 1.3 | 79 | 666 | 1,322 | 7,221 |
| EBITDA margin | — | 9% | 55% | 68% | 71% | 73% |
| Net profit | (0.8) | 0.8 | 64 | 108 | 214 | 1,169 |
| Item | 2028 | 2029 | 2030 | 2031 | 2035 |
|---|---|---|---|---|---|
| Revenue | 13.5 | 138.6 | 938 | 1,642 | 6,500 |
| EBITDA | 2.2 | 79 | 642 | 1,147 | 4,600 |
| Active clients | 83 | 853 | 4,246 | 7,529 | 35,394 |
| RPA robots (licenses) | 934 | 9,874 | 46,848 | 87,663 | 469,832 |
| Item | 2028 | 2029 | 2030 | 2031 | 2035 |
|---|---|---|---|---|---|
| Revenue | 0.1 | 4.9 | 38.6 | 235 | 3,408 |
| EBITDA | (0.9) | 0.3 | 24 | 175 | 2,621 |
| Clients | 50 | 500 | 2,500 | 8,000 | 51,035 |
| Robot fleet | 197 | 2,625 | 16,408 | 58,775 | 535,919 |
Funding-round plan — from pre-seed to Round B
We've already raised €400k — we need another €600k to reach the full million. We're closing pre-seed, then round by round, all the way to an IPO in 2031.
Four rounds in five years
- MVP1 framework + Client Portal
- AI Hours Engine + walidacja billingu
- 5 paying clients
- First RaaS pilots
- Agreements with robot makers
- RaaS model validation (site assessment)
- Marketplace of 20+ packages
- 25 paying clients (PL)
- Fleet of 10 RaaS robots
- 125 clients (PL + DACH)
- Own orchestrator + EU scaling
- 100 robots in the fleet
- DACH + Nordics entry
- 1,000+ clients in 4 EU countries
- Proprietary AI robots — a fully in-house stack, no UiPath dependency
- Fleet of 1000+ robots
Active round: pre-seed — lead investor + angels + grants (BGK / NCBR). Pre-IPO and IPO shown without milestones.
Why NOW — three waves of convergence
Three megatrends converge at a single point. The window to build the hub platform opens once — within the next 24 months.
API costs fell 10× in 2 years. Open-source models (Llama, Mistral) remove lock-in. Agentic frameworks (UiPath + n8n) enable building in weeks instead of months. SMEs can finally afford it.
Tesla, Figure, Apptronik — the humanoid moves from the lab to the factory floor in 2026–2027. Cost falls 40%/yr. The RaaS model gives SMEs access with no capex. The integrator market is EMPTY.
The EU AI Act forces compliance (fines up to €35M). The demographic crisis in PL/CE creates real demand. EU grants for SME digitization reach €2B. These three forces drive purchasing decisions.
The technology is ready. Regulation forces change. Demographics create demand. Whoever builds the hub NOW locks up the market for a decade. Automatify is that hub.
Join the pre-seed round
€1M · 12 months runway · round open until Q3 2026
Let's build the AI agents and robots hub — together
Founders and advisors + an operating team. Get in touch about due diligence, a term sheet, or a meeting.
Founders & advisors
15+ years in B2B sales, Naster S.A. (energy, renewables). Bielsko-Biała.
Technology shareholder — engineering support and delivery.
Ex-CFO Fujitsu (14 years), ex-CEO HP Inc. Poland. Warsaw.
10+ years in investment banking, M&A in energy.
Operating team
Product roadmap, backlog prioritization, voice-of-customer.
Strategy, GTM, market research, business development.
Platform architecture, infrastructure, security, AI stack.
Let's talk due diligence
Bielsko-Biała · Warsaw · Berlin (2028). We reply within 24 hours.