From “can we build this with AI?” to a go/no-go in two weeks.
Most AI programmes fail in scoping, not in engineering. The team skips the feasibility step, builds for two quarters, and discovers at the end that the data isn’t ready, the model can’t hit the latency target, or the UX can’t earn the user’s trust. The Feasibility Sprint is designed to surface all three before anyone writes production code.
Two weeks, fixed fee, senior-only team. We run use-case diligence, audit your data, map candidate architectures (agents, RAG, fine-tune, hybrid), build a cost and latency envelope, and deliver a clear go/no-go with a costed rollout plan if the answer is go.
Add one AI capability to your existing product, shipped in 6–10 weeks.
For teams with a live product and a real user base, we add one AI capability end-to-end: RAG over your internal documents, an embedded assistant, smart search, a generative surface inside an existing flow, or a vertical-specific copilot.
The model is the easy part. The hard part is the interface around it, when it’s wrong, when it’s uncertain, when the user should be allowed to override it. Emotix’s seven-year UX heritage is the difference between an AI feature that ships and one that ships-and-stays-used.
Voice and chat tuned for Azerbaijani, not an afterthought.
Azerbaijani-language AI isn’t a checkbox. Dialect variation, formal/informal register, Latin/Cyrillic dual-script, and banking-grade compliance language each break off-the-shelf voice and chat stacks in different ways. We build for all four.
This service productises everything we’ve learned working with Azerbaijani clients: intent architecture tuned to local speech patterns, escalation paths designed for the kind of customer-support calls banks actually receive, and evaluation rigs that know the difference between a misunderstood question and a reasonable refusal.
For teams building products, full stop.
Two weeks, one clear-eyed view of what to build next.
The UX complement to the AI Feasibility Sprint, same two-week shape, same senior team, different output. Where the AI sprint answers “is this achievable?”, the UX sprint answers “is this what our users actually need?”.
We run an end-to-end audit of your current product, map the jobs users are trying to get done, prioritise a 90-day roadmap, and set the measurement framework that will tell you whether any of it is working. Optional add-on: pair this with an AI Opportunity Map to surface where generative or agentic UX layers into the roadmap.
Your senior design + research bench, on retainer.
Azerbaijani banks, fintechs, and regulated-industry teams are increasingly hiring in-house designers, but the junior-senior ratio is brutal, and the market doesn’t yet have enough senior design leadership to go around. Embedded Squad is the fractional senior bench that covers the gap.
One senior designer plus one researcher or AI engineer, embedded in your team: in your Slack, your standups, your roadmap reviews. Engageable at 40 or 80 hours per month. Quarterly strategy reviews with your founders or CPO keep the work aligned. Scale up to two squads or embed an AI lead when the work requires it.
A new product, end to end, shipped in 6–12 weeks.
The default engagement for teams with funding, a target user, and six weeks of runway to go from idea to shipping. Small team, sharp scope, working product at the end.
We architect, design, build, and ship, with AI woven through, not pasted on. The engagement starts with a one-week scoping pass where we decide together what stays in the MVP and what gets cut. Whatever ships comes with evals, observability, and a handoff document a single engineer can read in an afternoon.
Questions we hear most.
What is Emotix?
Emotix is an AI-native product studio based in Baku, Azerbaijan. We build AI-powered products for fintech, government, and regulated-industry teams, and run a UX practice grounded in seven years of studio work. Founded in 2022 by Aqshin Rajabov, we work with a small number of clients at a time, deliberately.
How much does a Feasibility Sprint cost?
Feasibility Sprints are fixed-fee, two weeks, quoted against the brief. We quote in two tiers: an Azerbaijan-local rate for AZ clients and an international rate for Turkey, the EU, and global projects. We do not publish rates, get in touch and we will quote within 48 hours.
Do you work with non-Azerbaijani clients?
Yes. We have shipped for Schlumberger, the Asian Development Bank, the Turkish Ministry of Environment, and international fintechs. Our office is in Baku; our clients are global. Most engagements run remotely with quarterly in-person reviews where geography makes it useful.
What languages do you build AI products in?
English, Azerbaijani, Russian, and Turkish, a 200-million-person corridor. We specialise in Azerbaijani conversational AI: dialect handling, formal/informal register switching, Latin/Cyrillic dual-script support, and banking-grade compliance language. This is our defensible niche, no global studio builds for Azerbaijani users at this depth.
How is an AI Module different from building a chatbot?
A chatbot is a feature. An AI Module is a production-grade AI capability integrated into your existing product, RAG over internal documents, an embedded assistant, smart search, or a specific generative surface, with evals, guardrails, observability, and UX for trust (uncertainty states, confidence signals, human-in-loop overrides) baked in from day one. The model is the easy part; the interface around it is the product.
What is an Embedded Squad?
An Embedded Squad is a fractional senior design + research team on monthly retainer, typically one senior designer plus one researcher or AI engineer, engageable at 40 or 80 hours per month. The squad works inside your team: in your Slack, your standups, your roadmap reviews. Engagements run three to twelve months and can scale up to two squads or add an AI lead when the work requires it.
Can Emotix replace a full-time head of design?
For product teams without enough senior-design demand to justify a full-time hire, yes. The Embedded Squad model gives you senior product, design, and AI leadership at the cadence you actually need, 8 to 16 hours per week, while you focus headcount on the engineers, researchers, and PMs closer to your core business. For teams with a full-time head of design already, we operate as the senior overflow bench.
What is the difference between the AI Feasibility Sprint and the UX Strategy Sprint?
Both run two weeks at a fixed fee with a senior-only team. The AI Feasibility Sprint answers “can we build this with AI, with what data, at what cost, at what trust level?”, technical and architectural. The UX Strategy Sprint answers “is this the right thing to build for our users, and how should it be prioritised?”, product and experience. Many engagements run them paired, in sequence.