Available for Q2 2026 engagements

AI engineering
for global ambitions

We build production-ready AI agents, RAG systems, and data pipelines for US & EU companies. European engineering standards, competitive rates, real results.

60%
Avg. time saved for clients
4–6wk
Idea to production MVP
US & EU
Markets served
PydanticAILangGraphFastAPIOpenAIAnthropicPostgreSQLDockerAWSKubernetesTerraformPydanticAILangGraphFastAPIOpenAIAnthropicPostgreSQLDockerAWSKubernetesTerraform

Pick the path that fits

Three common starting points — same team, same bar for quality.

I want to use AI but need a clear starting point

We map high-impact use cases, realistic scope, and a roadmap — so you invest in the right build first.

Discuss AI opportunities

I'm shipping a product or MVP under time pressure

Focused sprints: AI features, backend, and cloud wired for production — with demos early and often.

Plan an engagement

I need data pipelines, ML, or platform work

Warehouse, orchestration, model lifecycle, and observability — integrated so your team isn't juggling vendors.

Talk data & MLOps

Three things we do exceptionally well

We don't do everything. We do AI engineering, data systems, and cloud infrastructure — at a level that competes with teams 5× our size.

AI agents & RAG systems

Custom AI agents with tool use, memory, and retrieval-augmented generation. From internal knowledge bots to autonomous customer support — production-deployed, not prototypes.

PydanticAILangGraphOpenAIpgvector

Data pipelines & MLOps

End-to-end data infrastructure: ingestion from any source, transformation with dbt, orchestration with Airflow or Dagster, model registry, monitoring, and drift detection.

DagsterdbtMLflowBigQuery

Cloud-native backends

FastAPI services, async architectures, serverless deployments, and infrastructure as code. We build backends that handle scale and remain maintainable.

FastAPIKubernetesTerraformAWS / GCP

Results that speak for themselves

Every engagement starts with a specific business problem and ends with measurable impact.

AI Agent · 8 weeks

60%less time on support lookups

RAG-Powered Knowledge Assistant

Internal chatbot for a B2B SaaS company: ingest PDFs and docs into a vector store, answer questions with cited sources, and support multiple workspaces. Includes admin UI for content upload and usage analytics.

8-week engagement · FastAPI + React · LangChain, OpenAI embeddings & chat, pgvector, Celery for async ingestion
Reduced internal support lookup time by ~60%; 200+ docs indexed; ready for customer-facing rollout.
LangChainOpenAIRAGFastAPIpgvectorReact

MLOps · 12 weeks

90%faster model deployments

ML Pipeline & Model Registry

End-to-end MLOps for a fintech client: train and version models (tabular + NLP), run A/B deployments, and monitor drift. Dagster for orchestration, MLflow for registry and experiments, inference on Kubernetes with autoscaling.

12-week build · Python, Dagster, MLflow, Kubernetes (GKE), dbt for feature store sync
Unified pipeline for 5 model types; deployment time from days to under 2 hours; drift alerts in production.
DagsterMLflowKubernetesPythondbt

Data Platform · 10 weeks

80%less manual ETL work

Real-Time Data Ingestion Platform

Central data platform for a retail analytics team: ingest from 12 sources (APIs, DBs, files), transform with dbt, load into BigQuery. Airflow DAGs with retries and SLA alerts; lightweight React dashboard for pipeline status.

10-week engagement · Airflow (MWAA), dbt Cloud, BigQuery, Terraform, Python
Daily refresh for all sources; single source of truth for reporting; reduced manual ETL by ~80%.
AirflowdbtBigQueryTerraformPython

AI Agent · 6 weeks

70%tickets with AI-first drafts

AI Agent for Customer Support

Autonomous support agent for a scale-up: read tickets, search Confluence and Zendesk, suggest replies, and hand off to humans when confidence is low. Full audit log and feedback loop for improving answers.

6-week MVP · PydanticAI agents, OpenAI, FastAPI backend, React dashboard, tool integrations (Zendesk, Confluence API)
First-response draft for 70% of tickets; human review before send; clear path to full auto-reply for simple cases.
PydanticAIOpenAIFastAPIReactZendesk

Document AI · 6 weeks

95%+accuracy on key fields

Serverless Document Processing API

Document intake for an insurance workflow: upload PDFs/images, extract entities (names, dates, amounts) via LLM + optional NER, classify document type, and push to internal systems. Runs on AWS Lambda with S3 triggers and SQS for retries.

6-week build · FastAPI (Lambda), OpenAI, AWS S3/SQS/Lambda, Terraform
Processing time from hours to minutes; 95%+ accuracy on key fields; scalable to 10k+ docs/day.
FastAPIAWS LambdaOpenAIS3Terraform

Backend · 8 weeks

<200msp95 on core APIs

Cloud-Native Analytics Backend

Backend for a SaaS analytics product: REST and GraphQL APIs, scheduled aggregation jobs, and caching layer. Fully on GCP with Terraform; Kubernetes for API and CronJobs; PostgreSQL + Redis; observability with structured logs and metrics.

8-week engagement · Python, FastAPI, SQLAlchemy, Kubernetes (GKE), Terraform, PostgreSQL, Redis
Sub-200ms p95 for core APIs; reliable daily/weekly jobs; infra as code for easy replication.
KubernetesTerraformFastAPIPostgreSQLGCP

From idea to production

Four clear steps. No surprises. Regular demos and tight feedback loops throughout.

01

Discovery

Deep dive into requirements, challenges, and goals

Week 1

02

Architecture

Tech stack selection and detailed roadmap

Week 1–2

03

Build

Agile sprints with regular demos

Week 2–6

04

Ship & support

Deployment, monitoring, iteration

Ongoing

The unfair advantage

Speed without shortcuts

MVP in 4–6 weeks. We move fast because we've built these systems before — not because we cut corners.

European quality, competitive rates

Based in Tirana, Albania. Engineering standards that match Berlin or London at rates that make your budget stretch further.

One team, end to end

AI, data, backend, cloud — no handoffs between vendors. One team owns the problem from discovery to production.

Let's build something worth shipping

30-minute discovery call. No pitch deck, no pressure — just a conversation about what you're building.

Global reach, local expertise

Based in Tirana, we serve clients across the US and EU with European engineering standards and competitive rates.

Headquarters: Tirana, Albania
Serving US & EU markets
Flexible timezone collaboration

Tirana, Albania

Serving clients worldwide

Start a conversation

We reply within 24 hours on business days.

Based in

Tirana, Albania

Serving

US & EU markets
Flexible timezone collaboration

Response time

Within 24 hours on business days