Work with LLM experts trusted by the world’s top tech teams.
We’ve built LLM solutions for startups to Fortune 500s. Work with vetted nearshore LLM developers. Kick off projects in 2 weeks.
4.9/5
60 client reviews
You’ve probably used products built by our LLM developers.
Our teams build, fine-tune, and deploy large language models that power copilots, chatbots, and search systems used by millions worldwide.
As an experienced partner in enterprise-scale LLM development, we deliver tailored solutions for organizations that need full model ownership. Our engineers design and implement large language models trained on high-quality, domain-specific data using distributed machine learning pipelines and scalable infrastructure. Our development process covers architecture selection, training, validation, and secure handoff. You gain a differentiated AI capability that supports your business objectives, protects proprietary data, and scales with your organization.
We design and deploy production-grade systems that connect language models to your internal knowledge through secure vector databases and high-performance retrieval pipelines. Our team manages data engineering, embedding generation, and orchestration end to end. So your teams get accurate, context-aware answers without retraining models. The result is faster access to institutional knowledge, lower operational costs, and stronger knowledge management systems across your enterprise.
We adapt open-weight models such as Llama or Mistral—and fine-tune managed models like GPT-4 or Claude through provider APIs—to fit your organization’s specific workflows. Our engineers use curated datasets, parameter-efficient tuning, and structured evaluation to enhance precision, stability, and output quality. The result is a deployable system that reflects your expertise, protects sensitive data, and delivers more reliable automation.
Our teams build enterprise-grade virtual assistants that combine natural language processing (NLP) and natural language understanding with business logic, APIs, and secure data layers. Each assistant is designed for uptime, accuracy, and compliance across support, HR, or IT workflows. You gain a scalable, always-available system that enhances business operations and improves user experience across every channel.
We deploy and optimize models in private cloud or on-prem environments using advanced AI frameworks such as vLLM, Triton, or DeepSpeed. Each environment is tuned for performance, security, and governance, giving you full control over data handling and model behavior. This approach ensures compliance, predictability, and peace of mind without exposing sensitive information to external services.
We architect and manage high-throughput inference systems with autoscaling, observability, and optimized GPU utilization. Our engineers integrate orchestration tools and caching strategies for seamless integration and cost-efficient delivery. The result is a production-ready environment that accelerates deployment and maintains stability under real-world scenarios.
We embed governance controls that include role-based access, prompt and output filtering, audit logging, and encryption across every data flow. Our frameworks align with ISO 27001, SOC 2, and GDPR standards and adapt to each client’s security posture. You get enterprise-grade AI development solutions that safeguard proprietary data, meet compliance mandates, and maintain operational integrity.
We build LLM-powered solutions that automate defined business processes across departments. These task-specific agents connect models to APIs, CRMs, and internal systems for activities like report generation, QA analysis, and document review. Each agent is modular, observable, and designed for continuous monitoring and control. The impact is leaner operations, faster task execution, and more efficient use of engineering talent.
Their engineers perform at very high standards. We've had a strong relationship for almost 7 years."
The best partnerships are the ones you don't have to worry about. We deliver the kind of technical execution and reliability that builds long-term trust. It's why clients consistently praise our work quality and performance.
Backed by 4000+ devs
Why tech leaders choose our LLM teams:
We bring senior engineers who’ve shipped complex AI systems at scale. They join your team ready to design, fine-tune, and deploy models that meet strict performance standards.
Speak With Our Team
Top 1% Senior LLM Talent
We hire less than 1% of over two million applicants each year. Our senior engineers bring deep experience in AI, NLP, and distributed systems, with 3–6 years focused on large language model development. Every hire has passed a rigorous, multi-stage vetting process to ensure proven AI expertise and production readiness.
Scale Across Any Tech Stack
With 4,000+ engineers across 100+ technologies, we bring full coverage across data, cloud, and backend systems. Our teams manage ingestion pipelines, vector databases, APIs, and orchestration for complete LLM model integration. We deliver LLM-based solutions that connect seamlessly to enterprise systems—from retrieval-augmented generation platforms to private deployments.
Proven Long-Term Stability
We support more than 500 active clients with partnerships averaging over three years. Our delivery model ensures team continuity, ongoing support, and consistent performance across evolving AI initiatives. We provide the reliability and scale to develop AI solutions that grow with your business.
Hundreds of LLM projects delivered.
Our track record means you get software that meets the highest technical and business standards.
A global law firm with 4,300 lawyers across 40 countries needed a secure AI solution to accelerate deposition review. We deployed a 19-person LLM development team to build a confidential GenAI web app, using open-source legal datasets to protect sensitive information. The solution applies Retrieval-augmented generation with similarity search for accurate, document-based answers and uses NLP to improve summarization quality. The beta was delivered in nine months and is expected to reduce review timelines from a week to minutes once rolled out firm-wide.
An emissions testing company needed a modern platform to streamline compliance. Manual processes for testing, reporting, and audits were slow, siloed, and costly. We built a secure compliance platform with AI/ML features, including a RAG-based GenAI chat for EPA lookup and automated data extraction from PDF reports. We also implemented role-based access controls and used DynamoDB to manage chat and audit data. The outcome was a secure platform where their clients can review emissions test results and access EPA regulations.
An AI video platform serving 45,000+ businesses needed to integrate with HubSpot to automate personalized video delivery in email campaigns. Manual workflows slowed campaign execution and limited scalability. Our engineers developed a HubSpot integration that connected the AI video platform directly to CRM workflows. This included asynchronous video generation and webhook-based storage of personalized video links for automated campaigns.
The ecosystem we use for LLM projects:
We build with the leading tools in the large language model (LLM) ecosystem. Each platform in our stack helps us move from prototype to production with clarity, speed, and control. We choose tools that balance performance with reliability so our systems stay efficient, scalable, and grounded in measurable results.
Model Platforms
We integrate both leading managed APIs and open-weight model families to give our clients flexibility, security, and control. These platforms help us deliver custom LLM solutions that meet enterprise standards for performance, compliance, and scalability.
Inference & Deployment
We deploy models using proven, production-ready frameworks. Our team selects the right environment for each use case—maximizing GPU efficiency in the cloud or running lightweight systems locally—to ensure consistent performance and predictable costs. This approach enables optimized LLM development solutions that scale across diverse environments.
Agent & Orchestration Frameworks
We design systems that use large language models (LLMs) as reasoning engines, not just responders. These frameworks manage logic, state, and tools across multi-step workflows, allowing for structured reasoning and automation in enterprise applications.
Retrieval & Vector Databases
As part of our AI development services, we enhance model accuracy by connecting them to live, trusted data sources. Our retrieval layer searches, filters, and serves relevant context instantly, improving precision and scalability.
Data Ingestion & Preparation
We start with structured, verified data. Our engineers build ingestion pipelines that extract, clean, and organize content for retrieval and model use—creating a reliable data foundation that improves accuracy and scalability.
Fine-Tuning & Training
We adapt open models to fit each client’s domain, tone, and operational goals. Using efficient machine learning techniques, we refine performance where it adds measurable value and keep infrastructure lean with frameworks built to train models quickly and securely.
Evaluation & Observability
Our evaluation stack monitors accuracy, latency, and cost across environments, allowing teams to analyze data, improve reliability, and iterate faster.
Safety & Governance
We enforce safety and compliance at every layer of the LLM development process. These guardrail tools ensure privacy, policy alignment, and regulatory adherence so every deployment remains secure, responsible, and enterprise-ready.
We integrate both leading managed APIs and open-weight model families to give our clients flexibility, security, and control. These platforms help us deliver custom LLM solutions that meet enterprise standards for performance, compliance, and scalability.
Get LLM results you can stand behind.
Need extra LLM expertise?
Plug us in where you need us most.
We customize every engagement to fit your workflow, priorities, and delivery needs.
Staff Augmentation
Get senior, production-ready developers who integrate directly into your internal team. They work your hours, join your standups, and follow your workflows—just like any full-time engineer.
Dedicated teams
Spin up focused, delivery-ready pods to handle full builds or workstreams. Together we align on priorities. Then our tech PMs lead the team and drive delivery to maintain velocity and consistency.
Software outsourcing
Hand off the full project lifecycle, from planning to deployment. You define the outcomes. We take full ownership of the execution and keep you looped in every step of the way.
Kick off LLM projects in 2-4 weeks.
We have reps across the US.
Speak with a client engagement specialist near you.
Tell us more about your needs. We'll discuss the best-fit solutions and team structure based on your success metrics, timeline, budget, and required skill sets.
With project specifications finalized, we select your team. We're able to onboard developers and assemble dedicated teams in 2-4 weeks after signature.
We continually monitor our teams' work to make sure they're meeting your quantity and quality of work standards at all times.
Global companies have trusted us to build and scale AI solutions for over a decade.
Excellence.
Our minimum bar for client delivery.
Over 130 awards, accolades, and achievements showcase our quality and commitment to client success.
What tech leaders ask about LLM before pulling us in:
How quickly can your engineers start on my project?
Most projects kick off in 2–4 weeks. With a bench of 4,000+ senior engineers, we can spin up teams in days to deliver tailored solutions aligned with your roadmap and technical goals.
What level of experience do your developers bring?
Our LLM engineers rank in the Top 1% of LATAM talent and have 8–10+ years of experience in applied AI, NLP, and deep learning. This includes experience in large-scale language model (LLM) development. They’ve delivered production-grade systems for global enterprises across 130+ industries.
We’ve verified that each developer has hands-on experience optimizing models, implementing retrieval-augmented generation pipelines, and applying prompt engineering in real production environments. And they’ve proven they can work with frameworks like LangChain, vLLM, and PyTorch to deliver reliable, high-performance systems for complex language tasks.
Who handles project oversight?
It depends on the engagement model. In staff augmentation, your leaders manage day to day. In dedicated teams and outsourcing, we provide project leads who keep LLM development aligned with your roadmap.
Will your engineers work in my time zone?
Yes. Our nearshore teams operate during US hours, communicate in English, and overlap fully with your in-house staff for standups, sprint reviews, and daily communication.
How do you integrate with our workflows?
We integrate seamlessly into your engineering ecosystem from day one. Our distributed teams work inside your GitHub, Jira, Slack, and CI/CD pipelines and align with your release cadence and model governance practices. We establish metrics, observability dashboards, and evaluation pipelines within your existing tools to maintain full visibility into quality, performance, and data analysis.
What safeguards do you provide around security and compliance?
We maintain ISO 27001 certification and operate in compliance with SOC 2 standards. Every system we build follows security-by-design principles. Our teams implement strict data isolation, encryption in transit and at rest, and secure key management for all model endpoints. We use OAuth, SSO, and role-based access to control data flow across teams.
We also embed LLM-specific safeguards, including guardrails against prompt injection and data exfiltration, output monitoring for policy compliance and bias, and governance over how sensitive data is used in training or retrieval. Our engineers have delivered AI systems under GDPR, HIPAA, and PCI-DSS requirements and know how to meet compliance standards without slowing delivery.
How stable are your teams over time?
Our model is built for continuity and long-term partnership. Most engineers stay on projects for 2+ years, minimizing turnover. If someone rolls off, our 4,000+ engineer bench lets us backfill quickly with overlap and full handoff. That’s how we sustain quality delivery and foster relationships that last 3–10+ years.
Do you handle contracts and billing in the US?
Yes. We operate from a US headquarters, which makes procurement straightforward.
Can you improve performance in existing LLM applications?
Yes. We perform full audits of your stack to identify latency, accuracy, and scalability issues. Our engineers apply generative AI optimization techniques to improve inference throughput, retrieval logic, and prompt design. We implement caching, cost controls, and data pipeline tuning to enhance response speed, reduce compute costs, and improve overall reliability.
What makes your LLM development services better?
We combine top-tier engineering talent, enterprise discipline, and nearshore delivery at scale. Our 4,000+ engineers across 100+ technologies give us the capacity to scale LLM teams fast and match any project scope. Our 500+ active clients and 96% retention rate prove our ability to deliver complex AI development services on time and within budget. Our LLM teams also bring deep expertise in model governance, security, and compliance.
See why the biggest names in tech trust us with LLM development.
Let's Discuss Your LLM Project
