Where AI implementation meets expertise in mission-critical delivery.
A dedicated department
A dedicated team, working on it full time.
WING AI Labs is staffed by a dedicated, in-house department — engineers, ML practitioners, and solution architects whose only mission is to research, prototype, and operationalize AI for our customers. It's a permanent function inside WING, with its own roadmap, its own hardware floor, and its own delivery cadence — feeding production into every account we serve.
A lab built for production.
Delivery copilots
AI augmenting our BAs, developers, QA, and tech writers — faster discovery, cleaner code, exhaustive test coverage, living documentation.
Agentic products
Production-grade agentic AI for regulated customers — orchestrated agents with audit trails, guardrails, and human-in-the-loop.
Cognitive vision
Battle-tested OCR & document intelligence — e.g. SCANVER processing 2.5M handwritten pension cards for CNPP.
Strategic partnership
With Avaelgo — engineering on-premise AI for sovereign workloads.
Together with Avaelgo — a Microsoft partner with deep expertise in cloud, data platforms, and AI engineering — we co-design and co-deliver private, on-premise AI solutions for Romanian government and banking customers. WING brings the regulated-delivery muscle and the customer relationships; Avaelgo brings the AI infrastructure and platform engineering. The result: production AI inside the institution's own walls.
Use-cases in flight.
A live portfolio of AI workstreams — most of them targeted at digital transformation programs inside government and banking.
Citizen-facing assistants
Conversational agents over public-sector knowledge bases — answering eligibility, status, and procedure questions in natural Romanian, with citation-grade traceability.
KYC & AML acceleration
Vision + LLM pipelines that read IDs, contracts, and transaction patterns — feeding WINGAML and back-office review queues with structured signals.
Mass document digitization
Hand-written and historical archives turned into structured, queryable data. From scanned cards to clean records — at national scale.
Code & spec copilots
Private fine-tunes of our own codebase, frameworks, and architectural standards — so every engineer ships at senior velocity.
Regulatory copilots
Agents that monitor BNR, ANAF, and EU regulatory feeds — flagging delta, drafting impact analysis, suggesting product changes.
Incident & ticket triage
OWL Incident Tracker enriched with AI summarization, root-cause hypotheses, and routing — slashing MTTR for our managed-service customers.
From a notebook to a production system.
Step 01
Explore
We pick a real customer problem and prototype against real (anonymized) data on our GPU floor.
Step 02
Harden
Evaluation harness, guardrails, red-team prompts, audit trails — before anything touches a customer.
Step 03
Deploy on-prem
Containerized inference on customer iron — or on our managed sovereign nodes. No leak surface.
Step 04
Operate & evolve
Continuous evaluation, drift detection, model swaps. The lab never stops shipping.