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Tilda
A research house running foundation model factories, generative studios, synthetic data labs, and scientific HPC programs on NVIDIA H800 GPU clusters. You don't need a GPU farm or an ML hire. You need a delivered result.
Three things you actually get when you hire us, in plain words.
Our engineers run your project on our infrastructure. You scope the outcome. We pick the model, write the training code, run the benchmarks, debug the output.
Trained model weights, generated media, benchmark report, synthetic dataset — whatever the engagement was scoped to deliver. Documented. Reproducible. Yours.
From kickoff to handoff. No procurement cycles. No talent shortage. No GPU waitlists. Most engagements complete inside one sprint cycle.
Each flagship program is a serious R&D engagement — multi-week scope, named deliverables, dedicated team. The rest are sharp specialized programs we run on request.
We train custom foundation models from scratch — vertical LLMs, multimodal models, reasoning models. The most ambitious work we do, the longest engagements, the deepest deliverables.
A full creative production house powered by generative AI — film, music, image catalogs, game assets, localization, synthetic avatars. End-to-end campaigns, not toy demos.
A dedicated factory for generating synthetic training, evaluation, and adversarial datasets. The piece global vendors won't ship — we build to spec, fully documented, regulation-friendly.
Academic-quality research engagements with commercial deliverables. Capability assessments, red-teaming, custom benchmarks, interpretability work. Sharp, written, defensible.
A team of senior ML engineers, embedded into your stack on retainer. Inference optimization, distillation, distributed training, custom CUDA kernels, MLOps platform builds.
Production-grade scientific computing on our InfiniBand clusters — CFD, FEA, computational chemistry, materials simulation, climate modeling, computational biology.
Industry platforms, RAG systems, agent frameworks, and AI copilots built and shipped under your brand.
Knowledge graphs, document understanding pipelines, multimodal search, recommendation engines.
Roadmaps, build-vs-buy analyses, AI due diligence for M&A, AI org design for C-level. 2-week discovery sprints.
Multi-week dedicated cluster allocations, long-running training program management, collaborative research.
Named open-source model releases, branded benchmark suites, dataset publications — research as marketing.
Robotics simulation, game AI, autonomous systems research, quantum-classical hybrid programs.
Click any industry orbiting around to see what we build for it. Three orbits, fourteen industries, programs picked per vertical.
Click any industry orbiting on the left to see the R&D programs we run for that sector.
You build the product. We build the model that goes inside it. Or the synthetic dataset. Or the eval suite. Or the CUDA kernel. Whatever you'd hire an ML team for — except faster and without payroll.
Campaign-scale video, audio, and image generation through Chinese frontier models on our infrastructure. Volume, quality, brand-safe — without the platform-access roulette.
Localization of full video catalogs into 30+ languages. Original music and OST production. Voice and character pipelines. Built for streaming, broadcasters, and post-production houses.
Asset libraries, character voices, NPC dialogue models, rendering at scale, game AI behaviors. The whole creative pipeline an indie studio doesn't have a budget for.
Product imagery, catalog videos, and lifestyle content at SKU scale. Synthetic product datasets for visual search and recommendation. Built once, runs across millions of items.
Campaign content engines, branded model packages, localization at multi-market scale. Move from "we use AI" buzzword to "AI ships our marketing department".
Compute on demand for projects that don't fit national supercomputer queues. Collaborative R&D, fine-tuning runs, benchmark engagements with academic transparency.
HPC-class CFD, FEA, structural and electromagnetic simulation on our InfiniBand fabric. We handle problem formulation, run management, post-processing — you get the numerical answer.
Catalog content generation, demand forecasting models on synthetic data, visual search and recommendation system builds. Scale without operationalizing customer PII.
Synthetic financial datasets for scoring, fraud, compliance model R&D. Open benchmark builds. AI strategy consulting at C-level. Everything you need before you commit to a production AI program.
Synthetic claims datasets, fraud-pattern adversarial training sets, underwriting model R&D on simulated portfolios. Strategic AI roadmaps for executive teams.
Drug discovery via computational chemistry, protein structure modeling, synthetic clinical trial datasets, medical literature processing. Computational, never operating on real patient PII.
Network optimization research, synthetic call-pattern datasets for churn modeling, inference optimization for in-house language models. Compute when in-house GPU supply isn't enough.
Reservoir modeling, seismic processing, structural simulation, computational fluid dynamics on production-grade clusters. The HPC stack the domestic market can't supply.
Foundation models · ML engineering
Generative studios · brand IP
Generative studios · localization
Generative studios · game AI
Generative studios · synthetic data
Generative studios · AI advisory
Compute · research lab
Scientific HPC · compute
Generative studios · synthetic data
Synthetic data · AI advisory
Synthetic data · advisory
HPC · synthetic data
ML engineering · synthetic data
Scientific HPC · compute
Tell us the outcome you need. 30 minutes. We listen, we ask the right questions, we tell you honestly if we're the right team.
Within 3 business days we send a written R&D program proposal — scope, timeline, deliverable, fixed price. You approve.
Our team runs the engagement on our infrastructure. You get weekly progress updates. We don't disappear into a black box.
You receive the deliverable, documentation, and a walkthrough call. We're available for 30 days of follow-up questions, free.
The honest comparison. Hiring an ML team, building infrastructure, or running a Nodex program — same outcome, different price tags and timelines.
Redundant power, multi-carrier connectivity, professional 24/7 operations. Production-grade infrastructure, not a hobby GPU rig in someone's basement.
80GB HBM3 per GPU, NVLink within nodes, 400 Gb/s NDR InfiniBand fabric across multi-node clusters. Current-generation silicon, no shared tenancy at the GPU level.
You see the proposal before you sign. No surprise GPU-hours, no scope creep, no consultant rate cards. One number per program.
You talk directly to the people building the work. No tiered support, no proposal team handoff to delivery team.
Our infrastructure does not process personal data. We work with open datasets, synthetic data, or your fully anonymized inputs. Clean by design.
Trained weights, generated assets, synthetic datasets, reports — IP is yours from the moment we hand it over. We do not retain or reuse client deliverables.
Tell us what you're trying to do. We respond within one business day with honest input — including if we think your project doesn't need us.