AI Research & Development
Aiotac works with visionary teams to explore and engineer what’s next in artificial intelligence. When off-the-shelf models fall short, we help you prototype, validate, and deploy emerging capabilities. This includes agent ecosystems, retrieval pipelines, multimodal reasoning, model compression, and edge-native intelligence. Our R&D is applied, production-ready, and built to give your business a lasting advantage.
What You Get
- Explore the Latest Models: Access early and open-weight LLMs, SLMs, vision, and agent models. We help you test what’s new before it becomes mainstream.
- Build Fast Prototypes: From RAG to CoT to multi-agent flows, we turn ideas into working demos, APIs, or notebooks, quickly, efficiently, and functionally.
- Translate Research to Product: Bring academic methods into your stack. We adapt novel architectures to fit your data, tools, and business workflows.
- Benchmark What Matters: Evaluate models using real-world metrics, including latency, cost, hallucination, alignment, and more, tailored to your use case.
- Engineer the Core: Fine-tuning, memory design, routing logic, and tool use; we build the pieces that make AI systems work reliably.
- Ship with IP Confidence: Get clean, documented, and reproducible builds ready for patent filing, internal rollout, or investor demos.
How We Build
We operate on a flexible research stack engineered for speed, scale, and scientific rigor; from first idea to deployable prototype.
- Enterprise-Ready Environments
Prototyping happens in secure, scalable setups including cloud notebooks, containerized pipelines, and collaborative R&D workspaces built for experimentation. - Advanced Frameworks
We build with the best: Hugging Face Transformers, PyTorch, DeepSpeed, LangChain, vLLM, LlamaIndex, and more, optimized for rapid iteration and custom logic. - High-Performance Infrastructure
Training and tuning run on GPU-backed clusters via Azure ML, AWS SageMaker, Modal, or private cloud, configured for compliance, control, and cost efficiency. - Rigorous Evaluation
Each prototype is tracked using Weights & Biases, Trulens, and custom dashboards, measuring latency, hallucinations, alignment, and cost-per-token in real time. - Multimodal & Agentic by Design
Support for vision, audio, code generation, retrieval pipelines, and agent ecosystems; all stress-tested in real-world environments with built-in safety and oversight.
Hosting & Delivery
- Flexible Environments
Run experiments in secure cloud workspaces (Azure ML, Databricks), containerized testbeds, or on-prem GPU clusters, wherever your team builds best. - Deployment-Ready Outputs
We deliver R&D artifacts as modular APIs, pipelines, or demos that plug directly into your dev lifecycle, ready to scale or hand off. - Private & Controlled Execution
Ideal for finance, healthcare, or regulated sectors; run in air-gapped, VPC-hosted, or compliance-aligned setups with full data control. - CI-Friendly & Reproducible
Models, retrieval stacks, or agents are shipped with versioned code, tracked configs, and full reproducibility; ready for dev, demo, or deployment.
Who It’s For
- Innovation teams are pushing boundaries with AI, seeking early access to cutting-edge methods.
- Enterprises in regulated industries need trusted, auditable pipelines before committing to deployment.
- Startups and labs are turning novel research into differentiated product features.
- AI product teams exploring new workflows, agents, or multimodal stacks without slowing down their roadmap.
- Investors or IP-focused orgs looking to turn prototypes into patents, whitepapers, or demo-ready assets.
Let’s go beyond the obvious. Prototype bold ideas, validate the frontier, and turn raw research into real-world breakthroughs, together.
