Expert-led AI R&D Lab
AdedicatedAIexpertonyourproblem.From$3,000amonth.
We source and vet a senior AI expert for your exact problem and put them directly on your team. No agency pyramid, no project minimums, transparent flat pricing. We publish our benchmarks and open-source the tools that move AI forward.
From $3,000/ month
A dedicated, vetted AI expert. Fully remote, full-time.
~3 days
From first contact to your expert starting.
~1 week
From start to first visible output.
What your expert does
Senior depth, sourced to your problem.
We match you with a hand-vetted expert for the work you actually have. The same production-grade depth as a top boutique, without the pyramid.
AI Systems Architecture
Multi-agent orchestration, RAG pipelines, and production-grade AI infrastructure designed for reliability and scale.
Applied AI Research
Rigorous experimentation with LLMs, fine-tuning, and novel architectures to solve domain-specific challenges.
Full-Stack Engineering
End-to-end product development from AI backend to polished frontend, built with modern frameworks and best practices.
AI Strategy & Assessment
Evaluate AI readiness, identify high-impact opportunities, and build actionable roadmaps aligned with business goals.
Transparent pricing
One price. The expert, not the pyramid.
A full year of a dedicated FRE|Nxt AI expert costs less than a third of one in-house hire. Average time from first contact to your expert starting: 3 days. Average time to first visible output: about a week.
Every expert: 6+ years overall, with at least 1 year shipping AI to production. Fully remote, matched to your need on demand, and interviewed and vetted through InterviewLM.
Dedicated AI Expert
Founding-client launch pricing. $5,000/mo standard. First 5 founding clients only, while we build public case studies.
- One hand-vetted senior AI expert, full-time for the month (~22 working days)
- Fully remote, matched to your need on demand
- Embedded directly with your team. No account managers in between
- Production-grade work: agents, RAG, LLM cost optimization, full-stack AI
- Clean, documented handoff. Your team owns everything
- Month-to-month. Continue only while it is worth it
More expert types (research scientist, ML/data engineer, full-stack AI product engineer) coming soon, priced transparently.
Expert-direct
You pay the expert, not the agency pyramid. No sales layer, no markup, no bench you are subsidizing.
Curated, criteria-gated
Every expert has 6+ years of experience with at least 1 year shipping AI to production. Interviewed and vetted through InterviewLM before they ever reach you.
Productized and transparent
One published flat rate. No project minimums, no scoping theater, no surprise change orders.
Lab-backed
We publish our production benchmarks and open-source our tooling. Quality is verifiable, not asserted.
For reference: an in-house senior AI hire runs $200,000 to $400,000 a year loaded, plus 3 to 6 months to find. Agency AI projects start at $30,000 to $75,000 with juniors behind a partner. We strip all of that out.
Case Studies
Selected Research Partnerships
Open-Sourcing Our Browser QA Agent
480 specs across two production apps, 289 archived runs, and Gemini 3.1 Flash Lite as the best-fit runtime.
Read the full studyDynamic Model Switching with LangGraph
Intelligent cost-performance optimization across LLM providers in production.
Read the full studyProduction-Grade Multi-Agent AI with LangGraph
8 agents deployed, 40% cost reduction, sub-2s response latency.
Read the full studyAI Platform Migration to LangChain
5-10x throughput improvement, 90%+ cache hit rates, 50-70% cost reduction.
Read the full studyLatest from the lab
What we’re publishing this quarter
Process
From hypothesis to scale.
01
Research
Study the domain, identify AI opportunities, form hypotheses.
02
Prototype
Rapid experimentation to prove what works.
03
Validate
Rigorous testing with real data and business metrics.
04
Scale
Production engineering with monitoring and continuous improvement.
What Our Partners Say
Trusted by Ambitious Teams
FRE|Nxt Labs delivered a multi-agent system that exceeded every benchmark we set. Their team took our vague requirements and turned them into a production-grade architecture that handles thousands of requests daily with remarkable reliability.
Engineering Leader
CTO, AI SaaS Company
The LangChain migration they executed cut our inference costs by 40% while improving response quality. What we expected to take months was delivered in weeks, with thorough documentation and zero downtime during the transition.
Technical Founder
Founder & CEO, Tech Startup