LLM Model Evaluation
Our experts rigorously evaluate large language models (LLMs) to ensure they deliver accurate, reliable, and efficient results aligned with your specific business goals.
Prompt Engineering
Our skilled engineers are adept in precise and optimized prompt engineering designed to enhance AI performance for clearer, more relevant outputs tailored to your use cases.
Retrieval-Augmented Generation (RAG)
Leverage cutting-edge RAG systems developed by our team, enabling your applications to combine real-time retrieval with generative AI for precise and context-aware responses.
Agents & Agentic AI
Delivering exceptional mobile experiences with specialized tools and frameworks that drive user engagement, loyalty, longevity, and conversions.
Fine-Tuning AI Models
Stay ahead of the curve by integrating emerging technologies into your front-end solutions. The team with extensive hands-on experience helps you integrate with:
Responsible AI
Nothing like a slow app to kill user interest. Our team of pros ensures fast load times and responsive interactions for improved user satisfaction and engagement.
Unlock What’s Next with AI Engineering
Partner with AI engineers who don’t just prototype, they ship. From fine-tuned LLMs to RAG pipelines and ethical AI frameworks, we build systems that scale with your ambition.
Technologies We Excel In
Frameworks & Libraries
PyTorch, TensorFlow, LangChain, Transformers (Hugging Face)
LLM & Agent Platforms
OpenAI, Anthropic, Vertex AI, Hugging Face Hub
Languages
Python, TypeScript, SQL, YAML
Retrieval & Indexing
FAISS, Weaviate, Pinecone, Elasticsearch
Deployment & Serving
FastAPI, Ray Serve, Docker, Kubernetes
Monitoring & Evaluation
Weights & Biases, LangSmith, Evidently AI
Responsible AI & Governance
Fairlearn, IBM AI Fairness 360, OpenAI Eval Frameworks
Our Process
1
Discovery & Use Case Alignment
We begin by identifying the right AI opportunities for your business.
Whether it’s RAG, agents, or LLM fine-tuning, we scope the data, success metrics, and technical feasibility upfront.
2
Data Strategy & Preparation
High-quality data is the foundation of impactful AI.
We source, clean, annotate, and structure datasets, readying them for training, retrieval, or evaluation with complete governance in place.
3
Model & System Design
Based on your needs, we architect solutions using the best-fit AI stack - LLMs, custom embeddings, vector databases, agents, or fine-tuned models designed to meet performance and compliance targets.
4
Implementation & Integration
From AI prompt engineering to RAG pipelines or agent workflows, our engineers build modular, production-ready systems that integrate uniformly with your applications, APIs, or knowledge bases.
5
Testing, Evaluation & Monitoring
We rigorously test with custom evals, hallucination checks, and safety validations.
Synchronous monitoring and feedback loops are set up using tools like LangSmith or Weights & Biases.
6
Deployment & Continuous Improvement
AI solutions are containerized, deployed via MLOps or serverless APIs, and continuously improved through user feedback, drift detection, and iterative retraining where needed.
Specialized AI Talent
Hire dedicated front-end developers with React, Angular, or Vue experience. Our vetted team includes remote and on-site talent across the globe.
Model-Centric, Outcome-Driven
We don’t just build AI experiments - we deliver production-ready solutions that align with your goals. From fine-tuning to evaluation, our team ensures performance, reliability, and responsible use.
Flexible, Scalable Teams
Whether you need a single ML engineer or a full-stack AI pod, we offer agile resourcing to match your project’s scale delivering iterative results with transparent, sprint-based execution.
Remote AI Experts On-Demand
Our vetted AI professionals work across time zones and stacks from Python and LangChain to Ray Serve and OpenAI APIs with clear documentation and collaborative handoff practices.
Proven Success Across Industries
From enterprise search copilots to compliance-grade AI governance platforms, we’ve built and deployed AI systems that serve industries like finance, healthcare, retail, and education.
Hear Directly From Our Clients
Engagement Models
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Full-Cycle Front-End Development
From UI/UX design to implementation.
Front-End for Existing Applications
Revamping outdated UIs, improving performance.
Cross-Platform & Responsive UI Development
Web, mobile, and PWA development.
MVP Development
Rapid front-end builds for startups.
Frontend Optimization & Performance Tuning
Improving speed, responsiveness, and SEO.
Staff Augmentation
for Front-End Development
If you want to hire front-end developers to integrate within your teams.
Dedicated Front-End Developers
Long-term engagement with engineers working as part of the client’s team.
On-Demand Front-End Experts
Short-term, project-based hiring for specific tasks (e.g., performance optimization).
Build-Operate-Transfer (BOT) Model
Start with an outsourced front-end team, then transition in-house.
