Canvas
Train your team fast
Drag & drop AI flows
Trusted by teams & developers at
From idea to production in less than a sprint
Pay once for setup, then only when maintenance is needed
No wasted API calls -- proven, cost-efficient models
We empower your team with tools, training & expertise
Adapts to your workflow, schema, and scale
Train your team fast
Save 15 hrs per admin
See all hidden costs
70% less manual work
Real-time visibility
Cut AI spend 40%
Senior Applied AI who designs agentic systems, context engineering workflows, and evaluation-driven LLM automation for enterprise use cases. 8+ years in analytics and data, expert on multi-agent architecture, retrieval pipelines, and cost-aware AI tooling that turn unstructured business tasks into reliable production systems. Creator of Tokalator, open-source infrastructure for context optimization and cost-aware agent execution across 15 models. Google-certified Generative AI Leader.tokalator.wiki
performance marketer and growth strategist, drives product-led growth through analytics, experimentation, and conversion optimization. With a solid background in both B2B and B2C environments, brings a data-informed mindset to campaign planning, channel optimization, and conversion rate enhancement. Expertise spans Google Ads (PMax, DSA, RSA, YouTube, App campaigns), Meta, TikTok, Bing, Yandex, LinkedIn Ads. Proficient in GA4, Adjust, Qlik, A/B testing tools, and automation through Google Ads Scripts to drive efficiency and ROI.
Bridges marketing and backend, instruments growth funnels end-to-end, from campaign attribution and analytics events to the APIs and services that serve them. Product engineer fluent across paid channels and the infra that measures them.
Technical or product walkthrough, pick a slot, choose who to meet, and we'll confirm by email.
Tue, Thu, Fri | 18:00–20:00
IST (Istanbul), AMS (Amsterdam)
powered by baachee
fast, curious, and a little dramatic, our catroid watches over every flow, query, and pixel.
meet baacheearrow_right_altA studio for building custom AI agents. We design multi-agent systems tailored to your workflow, so you own the solution instead of renting one. Small team, senior operators, applied AI plus growth engineering under one roof.
Subscriptions bill you every month whether you use them or not, and they lock your data into someone else's product. We build once, ship a system that fits your team, and charge for the work. You keep the code, the data, and the control.
You do. Every build runs in your environment, on your keys, against your data. We ship the system and step out. No hidden telemetry, no vendor lock-in, no forced migrations if your priorities change.
We compose small, focused agents with narrow jobs, explicit tools, and clear handoffs. That beats one giant prompt: cheaper to run, easier to debug, and safer to change one piece without breaking the rest. Each agent is testable on its own.
Like an expert plumber. You pay for the work when you need it, fixed scope, fixed price, agreed up front. No surprise fees, no per-seat inflation, no auto-renew you forgot to cancel. When your needs change, we scope the next piece the same way.
Two options, both agreed up front. If you'd like us to run the AI ourselves, we quote a fixed monthly under an agreement. Or bring your own keys (OpenAI, Anthropic, Google) and pay providers directly while we charge only for the build. No surprise fees either way.