faltastik.com
Multilingual consumer platform where AI interpretation is the product: ten reading categories in six languages, persistent user context, personalised responses, freemium plus token monetisation.
faltastik.com
Read the case study →AI · Tallinn, Estonia
AI Agency in Tallinn, Estonia
POI369 is an AI and digital agency based in Tallinn, Estonia. We help companies put artificial intelligence to work in marketing, operations, content production and digital products: automation of repetitive processes, AI assistants inside the tools teams already use, content systems that scale without losing quality, and products built with AI as a core capability rather than a bolt-on feature.
Last reviewed September 14, 2026 · Reviewed by Ahmet Bulut
What an AI agency does, in practice
We do not train foundation models. We apply the models that already exist (large language models, speech and vision APIs, embedding and retrieval systems) to specific business problems, and we build the software around them so the result is a working product instead of a demo.
That usually means three kinds of work. Automation: a process that today needs a person to copy, classify, summarise or route information is handed to a model with guardrails and a human checkpoint. Products: an application where AI is the point, such as a platform that interprets user input and personalises the response. Content and search: systems that produce, structure and publish content at volume while staying accurate, and that make the brand readable to AI search engines.
The honest limits matter as much as the capabilities. Models make mistakes, so every workflow we build has a review step where errors would be expensive. Costs scale with usage, so we measure tokens and latency from the first prototype. Data stays under the client’s control, and GDPR is part of the design, not a checkbox at the end.
Problems we solve
The requests that reach us most often, in the words clients use.
“Our team spends hours on work a machine could draft.”
Reports, first-draft content, ticket triage, data entry between systems. We map the process, automate the repetitive middle, and keep people on the decisions.
“We want an AI feature in our product, not a chatbot widget.”
Interpretation, recommendation, personalisation or generation built into the product flow, with the prompt logic, evaluation and fallbacks that make it dependable.
“We publish in several languages and cannot keep up.”
Multilingual content pipelines with editorial control: models draft and adapt, editors approve, the publishing system handles structure, metadata and hreflang.
“AI search does not know we exist.”
Entity, structured data and content work so ChatGPT, Gemini, Perplexity and Google AI Mode can find, understand and cite the brand. Measured monthly.
“Our tools do not talk to each other.”
Integration flows between CRM, ERP, finance, marketing and support systems, with AI used for classification and transformation where rules are not enough.
AI solutions we build
AI automation
Document processing, classification, summarisation and routing inside existing workflows, with human review where it counts.
AI-assisted content systems
Production pipelines for multilingual content: drafting, adaptation, structure, metadata and publishing under editorial control.
Custom AI applications
Products where a model interprets, recommends or generates as a core feature, with evaluation and cost control designed in.
AI search and GEO
Making the brand discoverable and citable by AI answer engines, on top of technical SEO that still does the heavy lifting.
Business process automation
End-to-end flows across departments: intake, approval, handover and reporting, with AI steps only where they earn their place.
AI integrations
Connecting language, speech and vision APIs to the systems a company already runs, including self-hosted options when data must stay in-house.
Data and analytics
Dashboards and measurement that show what the automation and the content actually changed, from cost per task to search visibility.
Custom SaaS platforms
Multi-tenant products with roles, billing, integrations and AI assistants, built to be maintained for years, not demoed for a quarter.
Real AI projects
Every project below is live. The case studies describe what was built, what it runs on and what we learned.
poitim.com
B2B team operations platform with Timo, a built-in AI assistant, alongside tasks, shifts, leave and performance reviews. Web app plus a self-updating desktop client, published in five languages.
poitim.com
Read the case study →POI CLOUD SYNC
Integration platform connecting CRM, ERP and finance tools without custom code, with monitoring and self-recovering flows. The automation backbone we reuse in client work.
www.poicloudsync.com
Read the case study →isimsec.com
Content and search product built on programmatic, AI-assisted generation at scale, with the structure and quality controls that keep such a catalogue indexable.
www.isimsec.com
Read the case study →How we approach an AI project
Find the point
A short discovery: which process or product decision has the highest cost or the most leverage. We say no to AI where a rule or a spreadsheet would do.
Prototype with real data
A working slice in weeks, on the client’s own data, with evaluation criteria agreed up front. Accuracy, cost per task and latency are measured, not assumed.
Build for production
Guardrails, review steps, logging, fallbacks and access control. The same standards we apply to any product we ship.
Integrate and hand over
The system lands inside the tools people already use. Documentation and training so the team owns it.
Measure and iterate
Monthly review of quality, cost and adoption. Models change quickly; the workflow is built so swapping one is a configuration, not a rewrite.
Who this is for
Companies with a repetitive information process
Enough volume that automation pays for itself within months, and a team willing to review the output while trust is built.
Product teams adding an AI capability
A SaaS or consumer product where interpretation, recommendation or generation would change what the product can do.
Marketing teams publishing at scale
Several markets, several languages, a content backlog that never shrinks, and a need to appear in AI search as well as Google.
Founders who want one partner
Brand, product, code and growth from a single team, so the AI work fits the rest of the business.
Why POI369
Production evidence, not slides
Faltastik, POITIM and POI Cloud Sync are live products we designed, built and operate. The methods on this page are the ones we use on our own systems.
One team from brand to backend
Strategy, design, engineering and marketing sit together. An AI feature gets an interface, a launch plan and measurement, not just a model call.
Multilingual by default
Our own site and products publish in up to six languages, including right-to-left Arabic. Language is an architecture decision, not an afterthought.
Security and maintainability first
GDPR-aligned data handling, strict security headers, typed codebases and documentation. Systems built to be maintained five years from now.
Working from Tallinn
POI369 OÜ is registered in Tallinn, Estonia, a country whose public services run digitally and whose e-Residency program lets founders anywhere run an EU company online. That environment shapes how we work: contracts, invoicing and company administration are digital end to end, and our clients are spread across Estonia, the wider EU and Türkiye.
We work remotely with clients in every time zone we serve and meet in person in Tallinn when a project benefits from it. English and Turkish are working languages on the team, and we publish in Estonian, Russian, Arabic and Kurdish as well.
Questions we get asked
Do you build your own AI models?
No. We build products and workflows on top of existing models and APIs, and we choose between providers or self-hosted options based on data requirements, cost and quality. Model selection is a configuration decision in the systems we build, so it can change without a rewrite.
How long does a first AI automation take?
A scoped prototype on real data typically takes two to six weeks depending on data access and integrations. Production hardening, review workflows and handover follow. We give a fixed estimate after discovery, not before.
What happens with our data?
It stays yours. We agree on data flows before writing code, prefer providers with no-training-on-customer-data terms, and use self-hosted or EU-region options when a client requires them. GDPR is part of the design.
Can you work with a company outside Estonia?
Yes. Most of our work is remote, with clients in Estonia, other EU countries and Türkiye. Company administration in Estonia is fully digital, which keeps contracting simple.
Is this the same as your AI content service?
AI-assisted content is one of the capabilities on this page. If your need is mainly marketing content, campaigns and analytics, the AI marketing agency page describes that service in more detail.
Related expertise and reading
Related expertise
Related insights
How AI Search Discovers, Understands and Cites a BrandBetween a company’s website and a sentence in a ChatGPT answer there are four stages: crawling, retrieval, entity resolution and citation selection. Each one can silently drop a brand. This is a plain-language map of the pipeline and of what a brand controls at each stage.How We Structure Next.js Websites for Search and AI CrawlersThe concrete decisions behind poi369.com and the products we build: what goes in server-rendered HTML, how a page serves Markdown to agents on request, why sitemap dates are derived from content signatures, how six languages stay self-canonical, and how structured data forms one graph. Everything here is running in production.
Related work
faltastik.com
AI-integrated fortune telling and astrology platform across 6 languages.
AIMulti-langPlatform
poitim.com
Global B2B team management platform, built end to end from brand identity to the desktop app, in five languages.
SaaSPlatformAIBrandWebMulti-lang
POI CLOUD SYNC
No-code SaaS integration platform for SMEs: connects CRM, ERP, e-commerce and accounting tools with drag and drop.
SaaSPlatformWeb
isimsec.com
Multilingual baby and child name meaning/origin platform with an SEO content engine.
WebMulti-langAI
Tell us where AI should earn its place
Send a short description of the process or product. We reply with an honest read on whether AI helps, what it would cost to find out, and what we would build first.