LLM Development
Model-agnostic LLM engineering and ultra-low-latency high-performance computing, built on 30 years of experience.
Modulus helps organizations put large language models to work, improving efficiency, and powering transformative new products. Our AI scientists, engineers, developers, and computational linguists have been building natural language and machine learning systems for nearly three decades, and many of those systems are in production at scale today.
What sets Modulus apart is the pairing of 30 years of AI & High Performance Computing (HPC) real world expertise.
LLM Services
Modulus partners with you at every stage of your AI strategy. Our advisory team identifies the highest-impact opportunities for LLM adoption across your organization, evaluates the tradeoffs of leading commercial and open-source models, and delivers a clear roadmap for integration before development begins.
From there, our development and implementation teams design, build, and train models against your data, then wire them cleanly into your existing or new systems, keeping everything current as your needs and the underlying models evolve.
- Strategy and use-case consulting
- Custom model design and development
- Fine-tuning on your proprietary datasets
- Prompt engineering and evaluation
- Smooth integration into existing workflows
- Ongoing maintenance and model refresh
From HFT networks to AI data centers
Modulus has spent decades engineering high-frequency trading infrastructure where microseconds translate directly into business outcomes. This work has produced deep expertise in network engineering and parallel processing, including kernel-bypass networking, hardware timestamping, multi-port optical interconnects, deterministic routing, and processing pipelines that sustain ultra-high throughput. These disciplines now extend to AI training and inference, where model performance is constrained by network throughput and the efficiency of parallel execution.
Our engineers partner with customers across the full AI data center stack, designing and implementing the foundational hardware and networking architecture that determines production cluster performance. This includes GPU and accelerator topology, NVLink and InfiniBand fabrics, tiered storage, and rack-level power and cooling. Organizations deploying new AI infrastructure benefit from a team with a proven record of building and operating mission-critical systems at scale.
Proven across many industries
Modulus has delivered language and AI solutions for organizations across finance, healthcare, and other industries, among them Fortune 500 enterprises and leading academic institutions.
Whatever your sector, the engagement model is the same: real AI scientists and engineers with deep machine learning and HPC experience, building practical, high-value systems on a foundation of proven, reusable accelerators and frameworks.
What we deliver
A full-spectrum AI practice that spans strategy, custom model engineering, and the specialized hardware needed to run it at production speed.
AI consulting
Identify the right use cases, understand model trade-offs, and build a pragmatic roadmap for integrating language models into your business.
Custom model development
Design and train custom LLMs against your datasets on your choice of hardware, or fine-tune an existing commercial or open-source model.
Implementation & integration
Embed models into your existing or new applications with clean APIs, keeping everything current as models and requirements evolve.
Prompt engineering
Systematic prompt design, evaluation, and optimization so your models behave reliably and predictably in production.
HPC engineering
Performance-tuned systems for enterprise AI and mission critical applications, from GPU clusters to TPUs, FPGA, and ASIC acceleration.
FPGA & ASIC acceleration
Move critical algorithms into custom silicon for nanosecond-class inference when software alone can't deliver the speed.
Models & platforms we work with
Vendor-neutral by design. Our engineers ship across the leading hosted models, open-source weights, and the underlying training and inference stack.
Let's build.
Request an instant meeting or schedule a call with our team to discuss your custom LLM and data center requirements.