Maksinet is an engineering company. We build AI agents, voice systems, and content automation.
We ship our own SaaS products and partner end-to-end with companies on their AI transformation — strategy, architecture, production. No slides — shipped systems.
> maksinet inspect --engagement standard model......... outcome-based partnership fee........... base + success share (KPI-tied) commitment.... 12–24 months scope......... strategy • architecture • production • scale status........ shipping ✓ > maksinet diff vs traditional-consulting - hourly rates, slideware + shipped systems, P&L-measured outcomes - hypotheses, POCs, "strategic recommendations" + live systems, KPI dashboard, accountability > _
One sentence: we build production AI systems that actually run — for our own products and for the companies we partner with.
4 SaaS products in production under Maksinet: voice agents (850Santral, Call2Me), content automation (FlyBrand), and an autonomous desktop AI (Nina). The engineering discipline we develop building these is what we bring to you.
Long-term partnerships with companies building AI from zero or scaling existing systems. Strategy, architecture, production, and scale — end-to-end with the same team.
Not classic consulting. Fixed monthly fee + KPI-tied success share. We take ownership-level responsibility; if it doesn't ship outcomes, we don't get paid either.
In short: we deliver AI as running code, not slideware.
Process inventory, ROI modeling, architectural vision. Where, when, in what order.
Production-grade agent systems. Voice, sales, internal ops, code generation.
Model selection, fine-tuning, eval frameworks, production-grade LLM stack.
Unify scattered data, real-time dashboards, predictive analytics. Shorten the decision loop.
AI-native, scalable, FinOps-aware architecture on GCP, AWS, Cloudflare.
AI policy, security frameworks, internal training, Center of Excellence setup.
# No hourly billing. Three partnership models — all tied to outcomes.
Fixed fee
Process inventory, transformation map, first pilot scope. Required before any other engagement.
Base + success share
Our core engagement. Fixed monthly + KPI-tied success share. Outcome partnership. Limited capacity per client.
Equity / revenue share
Founding partnership for AI-native company builds. Alongside the founding team — capital and engineering partner.
A meeting is not a tool — it's a cost. We work async, written, evidence-first — and that produces better work for both sides.
90% of communication is written (Slack/Linear/Notion). Meetings only for decisions or creative breakthroughs — never longer than 30 minutes.
A 5-minute screen recording is more informative than a 30-minute zoom. Leadership watches at 2× speed, only stops where needed.
Decision documents are written. An undocumented decision is an unmade decision. Every decision is searchable in your archive.
Every Friday: what we did, what we learned, what's blocking. You read it in 5 minutes, you know the week.
30 minutes. Working system, real data. No slides. Q&A included.
One decision-maker on your side, one lead on ours. We don't work with committees.
// Our meeting budget
Typical schedule for Discovery + Pilot. Outcome partnership is built on top of this.
NDA signature, repo/data/system access, initial documentation share. Async, done in 2 days.
Processes, data, team, current stack. 6-10 hours of interviews (users, leadership, eng). Output: transformation map.
Architectural decisions, KPI definitions, success criteria, contract finalization. SOW signed.
Production-grade, real data, real users (limited). First demo in Week 6.
Live with limited users, KPI measurement, fast iteration. Go/no-go decision in Week 9.
If pilot succeeds: roll out organization-wide. If not: handover & honest report.
Filtering saves both your time and ours. There are better partners for the following profiles:
Need a leadership presentation, no real transformation needed. Our model burns money in this scenario.
Your procurement may force this. There are workarounds, but if you have no flexibility, we're not your fit.
A 9-person decision board = a 9-month project = zero momentum. A single decision-maker is required.
AI transformation doesn't happen without data. We can't help if you only want a UI layer.
Pilot is 8-10 weeks. Scale is 6-9 months. Sub-6-month ROI expectations aren't realistic.
If budget is allocated to tech, not to a problem, the engagement spirals. Problem first.
# This isn't marketing — it's how we actually work. Make sure we fit before starting an engagement.
We're outcome partners. Our fees are tied to your KPIs.
Day one we design production systems. Not demos — running software.
No strategy memos. Architectural decisions and working code only.
Async, written, evidence-based communication. We respect your team's time.
We think like owners, tell the truth, say 'no' when needed.
No engagement ends until scaling, training and handover are complete.
18 years of product and engineering. Lead engineer and founder roles in shipping multiple products from zero to production. Last 3 years deep in generative AI systems — LLM agent platforms, voice AI, multi-agent orchestration. Positions Maksinet as an engineering firm, not a consultancy.
umutcetinkaya.com →// Data & security principles
Mutual NDA before discovery. GDPR / KVKK-compliant DPA framework.
Where possible: private deployment, on-prem inference, models running in your own VPC.
Every LLM call, every decision, every access logged. Fully visible to the client.
All code and architecture written during the engagement is contractually yours. No vendor lock-in.
Handover documentation begins in week one. You never end up dependent.
Hourly billing incentivizes us to work slowly, and you to extend meetings. Outcome-based aligns us on the same goal: fast, correct, durable results.
Discovery is 2 weeks. Outcome partnership is 12–24 months. Equity engagements are long-term. We don't do one-off 'build a POC and leave'.
Maximum 2 new clients per quarter. Usually: ready to scale revenue, decisive leadership, budget allocated for transformation. SMB to enterprise.
That's the ideal setup. We work alongside your team, transferring knowledge. By engagement end your team can build independently.
Anthropic, OpenAI, Google Vertex AI, AWS Bedrock; agent frameworks; voice/vision pipelines; Cloudflare/edge compute; modern data stack. But: problem first, tech second.
NDA and DPA standard. Sensitive data stays in your cloud (private deployments, on-prem inference, GDPR/KVKK-compliant pipelines).
// 10 — let's start
We listen to your current processes and give you our first opinion on where to start your AI transformation. No commitment, no surprise invoice.
$ response_time: < 24h · $ nda: optional · $ initial_call: free