Frontier AI,
engineered.
From research
to production.

Warsaw R&D Center is an applied AI research and engineering company. We advise on strategy, engineer tailored systems and build products end to end, with engineers who have built AI at Google, Microsoft, NVIDIA, Netflix and TikTok.

Experience from the teams that build modern AI.

  • Google
  • NVIDIA
  • Netflix
  • TikTok
  • Microsoft
  • Harman
  • IBM
  • Bell Labs
  • Intel
  • Nokia
  • Bosch
  • NASA
  • CERN
  • Many hold or are pursuing PhDs

Three ways to engage.One engineering standard.

Engage us for a decision, a system or a product. The same senior team carries the work from first analysis to production.

Strategic advisory

Decide where AI pays off. Feasibility, architecture and build-or-buy calls grounded in experiments, not slides.

  • Opportunity map and roadmap
  • Feasibility studies on your data
  • Architecture and vendor review
  • Technical due diligence
Discuss a decision

Tailored engineering

Custom models, agents and ML infrastructure, built to fit your stack, your data and your security constraints.

  • LLM, speech and vision systems
  • Fine-tuning and evaluation suites
  • Integration with existing platforms
  • MLOps, monitoring and cost control
Scope a system

Product development

AI-native products from first prototype to launch: model, backend, interface and evaluation in one team.

  • Prototypes tested with real users
  • Web, mobile and API products
  • Launch, analytics and iteration
  • Handover or long-term support
Plan a product

Deep where it matters.Fluent across the stack.

We work at the model, system and infrastructure level, and choose the simplest approach that meets the requirement.

LLMs and agents

Retrieval, tool use, fine-tuning and multi-step agents, with reliability you can measure.

Speech and audio

Recognition, synthesis and real-time voice pipelines tuned for latency and accuracy.

Computer vision

Detection, segmentation, document understanding and multimodal models.

ML systems and MLOps

Training, serving, monitoring and cost control, in your cloud, on premises or at the edge.

Evaluation and safety

Task-specific benchmarks, red-teaming and regression gates before anything ships.

Data foundations

Pipelines, labelling strategy and synthetic data: the ground every model stands on.

Evidence before scale.Four stages, each with an exit.

Each stage ends with a deliverable and a go/no-go decision, and that decision is yours.

  1. Problem, success metric, constraints and the real state of the data.

    Output · Brief and evaluation criteria

  2. A focused prototype on your data, scored against the agreed metric. Results, not a demo.

    Output · Measured prototype

  3. The production system: integration, security, monitoring and documentation.

    Output · Production release

  4. Run, measure and improve. Then hand over with full documentation, or keep us on.

    Output · Monitored service

Scroll or select a stage

Stage 01 / FrameExample engagementStatus Scoping
brief.yamlYAML
engagement: goal: "halve contract review time" data: [contracts/, annotations.csv] constraints: residency: EU latency_p95: 800ms success: - accuracy >= 0.90 - cost <= €0.02 / document
System graph7 nodes
Criteria

12/12 agreed

  • metric defined
  • data audited
  • risks mapped
  • go / no-go set
FormMode 01
  • Warsaw / 52.2297° N, 21.0122° E
  • Time zone / CET & US East
  • Status / Taking on projects
  • Languages / EN · PL

Built in Warsaw.Shipped worldwide.

European engineering depth.
Research-lab standards.

Measured, not promised.Commitments you can hold us to.

Working commitments that apply to every engagement. Every system we ship comes with an evaluation suite, and we report every number, including the unflattering ones.

First reply
<24h
On business days
Confidentiality
NDA
Before any details
Data residency
EU
By default
Evaluation
100%
Of systems ship with evals
Eval score vs iteration · illustrativeScoreCost / 1k reqTarget 0.90

Research pedigree.Production discipline.

Our engineers have built AI and software at Google, NVIDIA, Netflix, TikTok, Microsoft and Harman, done research at IBM and Bell Labs, and collaborated with NASA and CERN. Many hold or are pursuing PhDs.

  • Depth

    Doctoral-level expertise

    Machine learning, speech, language and vision, worked from first principles.

  • Seniority

    Senior by default

    The engineers on the first call are the engineers who do the work.

  • Rigour

    Production discipline

    Large-scale systems and sensitive data in GDPR, HIPAA and PCI-DSS environments.

Talk to the team

team.yamlYAML · UTF-8 · LF

  1. # Who builds your system
  2. team:
  3. experience:
  4. - Google, NVIDIA, Netflix, TikTok, Microsoft, Harman
  5. - IBM, Bell Labs, Intel, Nokia, Bosch
  6. research_with: [NASA, CERN]
  7. degrees: [PhD, MSc]
  8. focus: [llms, agents, speech, vision, ml_systems]
  9. delivery:
  10. seniority: senior-only
  11. based_in: Warsaw, PL
  12. hours: CET & US East

Replywithin one business day✓

Statustaking on new projectsOpen