Frontier AI Labs
We Build What Doesn't Exist Yet.
Most AI teams can implement what's documented. Frontier AI Labs exists for the problems that aren't solved yet — novel architectures, cutting-edge fine-tuning methods, synthetic data pipelines, and RL-trained agents that push beyond commodity AI.
Custom AI R&D for teams building at the edge of what's possible — not just what's available via API.
Start a Frontier AI R&D Engagement →
What Is Frontier AI Labs?
Frontier AI Labs is Codersarts AI's dedicated R&D service vertical. We partner with product teams, AI startups, and research-driven enterprises to design and build novel AI systems — the kind that require deep expertise in model internals, training dynamics, and evaluation methodology, not just prompt engineering.
If your problem can be solved by wrapping GPT-4 in a few API calls, we'll tell you that. If it can't — and you need something genuinely new — this is the service for you.
Service Breakdown
1. Custom Model Architecture Design
We design transformer variants, mixture-of-experts configurations, and domain-specific architectures from first principles. Includes theoretical grounding, ablation planning, and a full training specification.
2. Advanced Fine-Tuning & Alignment
Beyond standard LoRA: QLoRA, DPO, ORPO, RLHF, and constitutional AI methods applied to open-weight models. We handle everything from dataset curation to evaluation suite design and final model benchmarking.
3. Synthetic Data Engineering
High-quality synthetic training data pipelines for low-resource domains — clinical text, legal reasoning, code generation, scientific literature. Includes quality filtering, deduplication, and ground-truth validation.
4. RL-Trained Agents & Reasoning Systems
Reinforcement learning environments, reward model design, and policy training for multi-step reasoning agents. Applicable to code generation, mathematical reasoning, and agentic decision-making.
5. Research Paper → Production Implementation
We implement published AI research (NeurIPS, ICML, ACL, ICLR) as production-ready systems. From novel retrieval methods to new training objectives — if it's in a paper, we can build it.
6. Evaluation & Benchmarking Frameworks
Custom evaluation harnesses for your domain: domain-specific benchmarks, adversarial test sets, red-teaming pipelines, and regression testing for model updates.
Use Cases by Vertical
Vertical | Frontier AI Application |
AI Product Teams | Novel reasoning model for vertical SaaS, custom embedding model for search |
Healthcare R&D | Clinical NLP model trained on private EHR data, drug interaction reasoning agent |
Legal Tech | Contract reasoning LLM fine-tuned on jurisdiction-specific case law |
Fintech | RL-based trading decision agent, fraud reasoning model with explainability |
EdTech | Adaptive tutoring agent with RL feedback loop, synthetic curriculum generation |
Defense / GovTech | Air-gapped document intelligence, information extraction from unstructured reports |
Robotics / Embodied AI | Vision-language model fine-tuning for robotic task planning |
Engagement Models & Pricing
Research Sprint
$5,000 – $12,000 · 2–4 weeks
Feasibility study + proof-of-concept build
Literature review, architecture selection, initial training run
Deliverable: technical report + working prototype
Full R&D Build
$20,000 – $80,000+ · 6–16 weeks
End-to-end: architecture → data → training → evaluation → deployment
Full codebase, model weights, and evaluation suite handed off to your team
Optional: research paper co-authorship
Ongoing R&D Retainer
$5,000 – $12,000/month
Dedicated AI research engineer embedded in your team
Weekly experiment cycles with structured reporting
Model versioning, A/B evaluation, and continuous improvement
Engagements start with a paid Technical Scoping Session ($500, credited to project). We assess feasibility, data requirements, and compute budget before committing to a timeline.
Why Codersarts Frontier AI Labs
Published-research-level depth: our engineers have implemented 100+ papers from NeurIPS, ICML, ACL, and ICLR
Full training pipeline ownership — we don't just fine-tune on AutoTrain
Compute-efficient by default: we optimise for results within your GPU budget
Transparent methodology: every experiment logged, every decision documented
IP stays yours: all weights, code, and data pipelines are client-owned
Recent Work
Clinical SOP RAG — HIPAA-compliant retrieval system for a US hospital network, deployed on private AWS with Llama 3 and Weaviate
Legal Contract Intelligence — QLoRA fine-tuned Mistral model on jurisdiction-specific contract corpora, with custom evaluation harness
Self-Correcting Code Agent — LangGraph + RL feedback loop for automated code review and correction, built as a production course deliverable
Full case studies available on request.
Working on something that pushes the frontier?
Tell us what you're building. We'll do a free 20-minute pre-scoping call to assess whether it's the right fit — and what it would take to build.
Book a Frontier AI Pre-Scoping Call →
View Research Paper Implementation Catalogue →
Email us at contact@codersarts.com or fill out the project brief form below.