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FINTECH · AI · AGENTS - SINCE 2008

Intelligent finance.

We help banks and fintechs put AI and AI agents into production - privately, on your own cloud, built on open source.

2008
Building since
17 yrs
Payment systems
OSS
Open-source first

Trusted by

  • DenizBank
  • BKM - Bankalararası Kart Merkezi
  • Birleşik Ödeme
  • KECTECH
  • mtbilg
  • Next Level Engineering
01

What we do

Consult. Build. Run.

Three pillars, each spanning the full stack - from boardroom strategy to production systems your operators rely on every day.

Consult

01

AI strategy for finance.

Use-case discovery, target architecture, build-vs-buy, security, compliance and data-residency - turned into a costed, sequenced roadmap your board can sign off on.

  • Use-case discovery
  • Architecture & build-vs-buy
  • Security, compliance, data-residency
  • Costed roadmap

Build

02

The whole stack, in production.

Private AI infrastructure → models & fine-tuning → RAG/data → conversational AI → autonomous agents → document/multimodal AI, integrated into core banking, payment rails and back-office.

  • Private infra & model serving
  • Fine-tuning, RAG & data
  • Conversational AI & agents
  • Core/payment integration

Run

03

It survives production, not just a demo.

Governed execution, guardrails, observability, evals and model/LLM-ops. We embed forward-deployed with your team and keep improving what's live.

  • Governed execution & guardrails
  • Observability & evals
  • Model / LLM-ops
  • Forward-deployed engineering
02

From infrastructure to agents

The whole stack - in your cloud.

Most vendors hand you one layer and a bill. We cover all of it: the compute, the models, the data, the apps and the agents on top - deployed where your data already lives.

Your cloud / on-prem data never leaves
  1. 01

    Infrastructure

    Cloud-native foundation & services

    KubernetesDockerGogRPCTerraformPrometheusOpenTelemetry
  2. 02

    Private models

    Open-weight LLMs you run

    LlamaQwenMistralDeepSeekGemma
  3. 03

    Model serving

    Fast, private inference

    vLLMOllamallama.cpp
  4. 04

    RAG & data

    Grounded in your own data

    pgvectorQdrantMilvusWeaviate
  5. 05

    Agents flagship

    An AI workforce that executes work

    LangGraphCrewAILlamaIndex
  6. 06

    Governance

    Guardrails, evals, audit, LLM-ops

    LangfuseRagasMLflowGuardrails

Each layer is something we deliver as a service, on open source - pick the ones you need, or the whole stack as one integrated system.

03

Full-stack service catalog

Everything a full-stack AI company offers - for finance.

Eleven services across five layers. Delivered as packaged work - a fixed-fee sprint, a fixed-scope pilot, a project or a retainer - so a senior team can ship them predictably.

Consult

01

AI Strategy & Advisory

Roadmap, use-cases, governance and data-residency - costed and sequenced for finance.

DiscoveryArchitectureRoadmap

Infra

02

Private AI Infrastructure

Stand up GPU, training and inference in your cloud or on-prem - cost-efficient compute you own.

vLLMKubernetesDocker
03

Edge & On-Device AI

Inference at the branch, POS or terminal - a natural extension of our ECR/POS heritage.

Ollamallama.cppONNX

Models & Data

04

Private & Sovereign Model Deployment

Open-weight LLMs running privately. Your data never leaves your environment.

Llama / QwenMistralvLLM
05

Custom Models, Fine-tuning & Data

Domain finance models, fine-tuning, RAG, synthetic data and rigorous evaluation.

LoRA / QLoRAUnslothpgvector / Qdrant

Apps / Agents

06

Conversational AI & Copilots

Customer and employee assistants grounded in your own data and systems.

RAGAgents
07 AI workforce · flagship

AI Agents & Agentic Automation

Your AI workforce: agents that execute back-office work - reconciliation, payments ops, KYC/onboarding, AML/fraud, disputes - through one conversational interface, integrated with your core.

LangGraphCrewAIGo / gRPC
08

Document & Multimodal AI

Statements, KYC docs and contracts turned into structured data - and actions.

VLMsRAGAgents
09

Decision Intelligence

Analytics copilots for leadership and operations, grounded in your numbers.

RAGBI integration

Run / Govern

10

Governance, Security & LLMOps

Runtime authorization, guardrails and deterministic routing for money-moving actions - plus observability and audit.

LangfuseRagaspromptfooGuardrails
11

AI Enablement & Forward-Deployed Engineering

Workshops, training and embedding senior engineers directly with your team.

WorkshopsEmbedded
04

How we work

Open source, not lock-in.

Four commitments that shape every engagement - and the reason finance teams trust us with production.

  • 01

    Open source, not lock-in.

    We build on open models and open tools the world's largest engineering teams already trust. You keep the weights, the code and the freedom to leave.

  • 02

    Your data stays in your cloud.

    Private and sovereign deployment by default. Models run where your data already lives - nothing is shipped to a third party to be trained on.

  • 03

    From strategy to production.

    We don't hand over slideware. We ship to production, integrated with core, payment and back-office systems, and we stay to run it.

  • 04

    Senior-only, asset-light.

    The people who pitch write the code. No owned infrastructure, no junior bench - compute is rented or runs in your cloud, expertise is the product.

Deployment agents run in your cloud
YOUR CLOUD data stays inside MOS forward-deployed operate Private models open-weight LLMs AI agents execute work Your data RAG · vector store Core · payments back-office systems results
05

Heritage & proof

17 years building payment systems. Now we build the full AI stack on top.

EMV, ECR/POS, OLTP/OLAP, mobile, cloud-native Go - battle-tested for banks and processors on thousands of production systems. The same senior team now ships AI and AI agents into the same demanding environments.

2008

Founded in Istanbul

17+

Years in payments

2015

Pivot to fintech

Built on open source

Models
LlamaQwenMistralDeepSeekGemma
Serving
vLLMOllamallama.cpp
Agents
LangGraphCrewAILlamaIndex
RAG & data
pgvectorQdrantMilvusWeaviate
Fine-tuning
LoRA / QLoRAUnslothAxolotlHugging Face
Eval & observability
LangfuseRagasMLflowGuardrails
Cloud-native
KubernetesDockerGogRPCTerraformPrometheusOpenTelemetry
06

Insights

Notes from production.

What we're learning shipping AI into real financial systems - written by the people doing the work.

6 min read

Putting AI into production - privately

Why finance teams don't have to choose between capable models and data control. Open-weight LLMs, deployed in your own cloud, are now good enough to run the work.

Private AIDeploymentOpen weights Read →
7 min read

An AI workforce for the back office

Chatbots answer questions. Agents do the work. What it takes to let software actually execute reconciliation, onboarding and disputes - safely - inside a bank.

AI AgentsAutomationGovernance Read →
5 min read

Open source, battle-tested: the asset-light AI stack

You don't need to own a GPU farm or a hundred-person team to ship serious AI. The open-source ecosystem already did the hard parts. Here's the stack we build on.

Open sourceArchitectureStack Read →

Put AI to work in your business.

A focused conversation with the senior engineers who'll do the work - not a sales funnel. Tell us what you're trying to move.