Enterprise AI from Türkiye
AI for your industry.
Your data stays yours.
Kızılelma AI Software builds vertical AI companies for regulated fields — law, health, finance — and delivers production-grade AI systems for enterprises. Every answer shows its source; personal data never leaves Türkiye unmasked.
- Founded 2024 · Konya Technopark
- KVKK/GDPR-minded architecture
- Working PoC in 2–3 weeks
01In numbers
Enterprises run Kızılelma in production
50+
AI & software projects delivered
LLM/RAG, vision, forecasting, automation
11M+
Court decisions processed
Kızılelma AI Law corpus
6+
Active industries
Finance, health, logistics, manufacturing, retail, education
2–3 wks
PoC delivery time
When the data is ready
All figures come from company records; numbers are rounded with "+" only when genuinely exceeded.
02Two paths, one engineering culture
We build products — and yours
The same team and the same trust architecture: we operate our own vertical products and deliver custom AI systems for enterprises.
Our vertical products
Kızılelma companies
Ready-made AI products for regulated professions. Law is live today; health and accounting are next. Each vertical is its own brand on a shared trust architecture.
Explore the companies →Enterprise solutions
The Kızılelma Software studio
LLM/RAG, computer vision, forecasting and automation delivered end to end — from discovery to production, starting with a working PoC in 2–3 weeks.
Explore the services →03Live product
Kızılelma AI Law — AI built for Turkish law
Sourced research across more than 11 million court decisions, petition drafting, document intelligence and an autonomous agent. The lawyer's oversight is part of the architecture.
- Case-law research — semantic search across 11M+ decisions from Türkiye's high courts; every answer is cited.
- Drafting — precedent-fed, source-cited drafts in minutes — approved by the lawyer.
- Data sovereignty — identity data is masked in Türkiye; the model only ever sees de-identified text.
My client of 8 years was dismissed without a hearing. Draft the severance + reinstatement strategy with precedents.
The dismissal appears procedurally defective under Labour Code art. 19: no written defence was taken. Proceed on two tracks:
1. Mediation application (within 1 month) 7036 s.K. m.3
2. Severance + notice: 8 years × gross-inclusive wage 1475 s.K. m.14 Y9HD 2022/13847
✓ 2 sources verified · answer is cited
Representative interface
04Our companies
One house, vertical brands
General-purpose chatbots don't meet the accuracy and confidentiality bar of regulated professions. For each vertical we build a dedicated, cited and auditable brand.
Live
Kızılelma AI LAW
Legal intelligence
Professional-grade AI built for Turkish law: sourced research across 11M+ court decisions, drafting, document intelligence, case analytics and an autonomous agent. Data stays in Türkiye; identities are masked.
Live
Kızılelma SOFTWARE
Enterprise AI & software studio
LLM/RAG, computer vision, forecasting and MLOps: end-to-end AI and software delivery for enterprises, from PoC to production. Working PoC in 2–3 weeks, KVKK/GDPR-compliant architecture.
Coming soon
Kızılelma AI DOCTOR
Clinical intelligence
Clinical decision support, medical document intelligence and imaging analysis for physicians and providers. Same trust architecture: data in Türkiye, physician always in the loop.
On the roadmap
Kızılelma AI ACCOUNTING
Finance & accounting intelligence
Document processing, reconciliation, regulatory tracking and audit trails for accountants and finance teams. Every entry traceable to its source.
Companies marked "coming soon" are on our roadmap; launches are announced in the Newsroom.
05Enterprise solutions
End to end in enterprise AI
One team from idea to production: discovery, data, model, deployment and operations.
LLM & RAG Systems
Your institutional knowledge turned into assistants that cite their sources.
- RAG
- Agents
- Evaluation
Computer Vision
Real-time detection, OCR and video analytics — production performance even on edge devices.
- YOLO
- OCR
- Edge
Forecasting & ML
Demand, anomaly, churn and recommendation models validated with A/B tests.
- Time series
- Anomaly
AI Automation
Document processing and workflow automation with human approval built in.
- Document AI
- RPA + LLM
MLOps & Production
Versioning, live monitoring, drift detection and cost control; deploy is the beginning.
- Monitoring
- Drift
- SLA
AI Consulting & PoC
Use-case analysis, feasibility and a working proof on your real data in 2–3 weeks.
- Discovery
- ROI
- PoC
06How we work
Four steps from discovery to production
-
01
Discovery & feasibility
A free 30-minute call: business problem, data maturity and target metrics.
- Scope
- ROI
-
02
PoC — 2–3 weeks
A working proof on your real data: demo, measurement report and production roadmap.
- Demo
- Metrics
-
03
Production
Go-live with security layers, integrations and resilient architecture.
- API
- Integration
-
04
Operations
Live monitoring, drift detection and SLA-backed support; the system keeps improving.
- MLOps
- SLA
We never work in the dark for more than two weeks: you see a demo at the end of every sprint.
“With the demand forecasting model we cut our stock costs by 30%. We make decisions with data now — and the team can explain technical matters in business language.”
“Our vision project reached PoC in 3 weeks and production in 6. Their KVKK rigor was decisive for us.”
“Our RAG assistant answers a large share of call-center requests with cited sources; cost and satisfaction improved together.”
Quotes are from real customer feedback; company names are anonymised under NDA.
08Trust architecture
Data sovereignty isn't a feature. It's the architecture.
Personal data is masked before it ever reaches a model; systems run in Türkiye or on your own infrastructure. Compliance is designed in, not patched on.
- Mask first — identity data is stripped before any LLM call; the model sees de-identified text only.
- On-premise option — on-prem, VPC and air-gapped deployments; data never leaves your perimeter.
- No training on your data — customer data is never used to train any model — a contractual commitment.
- Audit trail — access and operations in immutable, timestamped records.
$ kzl deploy rag-hatti --ortam uretim
# KVKK masking gateway active — no identity data reaches the model
→ embedding: bge-m3 · chunk: semantic (512)
→ vector store: Qdrant (on-prem)
$ kzl eval --metrik groundedness
✓ Groundedness: 0,94 ✓ Hit rate: 0,91
✓ Latency P95: 1,8 sn (SLA 2 sn)
$ kzl monitor --panel
Representative interface
09Blog
Notes from engineering
Strategy ·
Why an Enterprise AI Project When ChatGPT Exists?
Why invest in enterprise AI when ChatGPT exists? An honest comparison across data privacy, citations, access control, process integration and cost.
2 min read · Read →Architecture ·
KVKK-Compliant LLM Architecture: The Mask-Then-Process Chain
How to build a KVKK/GDPR-minded LLM architecture: the production-proven chain where personal data is masked before any model call.
2 min read · Read →Fundamentals ·
What Is RAG? Enterprise Knowledge Assistants, Plainly Explained
What is RAG (Retrieval-Augmented Generation)? The architecture behind enterprise knowledge assistants, explained plainly with real examples and honest limits.
2 min read · Read →Let's talk about AI for your organization
A free 30-minute discovery call: your problem, your data and the target metrics — clarified together. Free, with no obligation.
- NDA signed before the call on request
- Written proposal within 2–3 business days
- You own the code and documentation