AboutOur Team
Operator–research collective: faculty access + applied AI + full‑stack product velocity. Evaluation‑first, capital efficient, transfer‑focused.
Operating Principles
Evaluation First
Benchmarks & feedback loops wired before scale.
Capital Efficiency
Lean delivery & infra pragmatism over vanity build.
Knowledge Transfer
We ship playbooks + internal enablement artifacts.
Ethical Guardrails
Responsible use reviews integrated into cadence.
Leadership
Builds AI-enabled platforms with durable architecture, lean iteration loops and clear cost-performance balance.
ArchitectureAI ProductFull StackPlatformScalability
Scalable Talent Mix
Lecturers 8AI Experts 9Engineers 8
8 lecturers
University Faculty Partners
- 21 peer‑reviewed papers (RL, MLOps, CV)
- 30+ research internship placements / year
- Ethical AI advisory participation
9 experts
AI Research Specialists
- 4M+ monthly AI inferences supported
- Multilingual eval harness (62% EU languages)
- Compression toolkit adopted by 12 startups
8 builders
Full-Stack Product Engineers
- Products impacting 18M+ users
- Edge aware CI/CD & K8s ops
- Design tokens across 11 product lines
Proof Points
Research depth + product velocity
Academic rigor blended with pragmatic shipping: hardened delivery playbooks, capability transfer & evaluation as a first-class artifact.
Sample Outputs
- AI tutoring platform boosting retention +27%
- Predictive maintenance (98% anomaly precision)
- Cross-platform wellness app top‑5 local stores
Thought Leadership
- Annual applied AI benchmark & risk report
- Responsible LLM workshops for healthcare & legal
- Data‑centric AI courseware (6K+ practitioners)
Advanced Domains
- Neuro-symbolic & federated learning research
- Bio-signal analysis prototypes for med‑tech
- Supply-chain agent simulations across 14 markets
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Years Experience
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Projects Delivered
0M+
Users Reached
Collaborate With Us
Light introduction gets a response <24h. We assess fit, share a concise next step, then move into scoped discovery if it compounds mutual leverage.