AI Services for High-Performance, Intelligent Digital Products
20+ years of engineering expertise, 1,000+ solutions, and deep experience across AI, ML, Generative AI, RAG, Agents and Computer Vision.
Why Neuralyne for AI
We combine deep engineering, machine learning research and product thinking to build AI systems that deliver measurable business value.
Strategy-First AI
Problem framing, data & feasibility audits, ROI-driven use case selection.
Modeling & Generative Expertise
LLMs, fine-tuning, embeddings, multimodal models and generative pipelines.
MLOps & Engineering
Production pipelines, CI/CD for models, monitoring, feature stores and retraining.
Scalable Infrastructure
GPU clusters, Kubernetes, Ray and cloud-native deployments for inference at scale.
Governance & Security
Responsible AI, data privacy, model auditing and compliance-ready designs.
Long-Term Partnership
Continuous optimization, monitoring, retraining and business KPI alignment.
Cross-Industry AI Expertise
We have built AI products for Finance, Healthcare, Retail, Manufacturing, Logistics, Education and Enterprise SaaS companies — solving domain-specific problems at scale.
Responsible & Compliant AI
We implement responsible AI practices including bias testing, explainability, access controls and data governance to meet regulatory and organizational requirements.
Our AI Services
Comprehensive AI capabilities to embed intelligence across your products and operations.
AI Development
- Custom AI model development
- Feature engineering & model selection
- End-to-end data pipelines & deployment
- MLOps & monitoring
AI Consulting
- AI readiness & data audits
- Use-case prioritization & ROI mapping
- Architecture blueprints & roadmaps
- Vendor & tooling evaluation
AI Chatbot Development
- LLM-powered conversational agents
- Context & memory management
- Omnichannel deployment (web, app, WhatsApp)
- Analytics and conversation tuning
Generative AI Development
- Text, image & audio generation
- Prompt engineering & fine-tuning
- Synthetic data generation
- Guardrails & evaluation
AI Agent Development
- Autonomous task agents
- Tooling & API orchestration
- Multi-agent coordination
- Real-time decision systems
AI Integration Services
- Integrate AI into existing apps & workflows
- API-driven LLM integrations
- CRM/ERP/BI integrations
- RPA + AI automation
Machine Learning Development
- Supervised & unsupervised learning
- Reinforcement learning solutions
- Feature stores & model evaluation
- Retraining & model lifecycle management
Computer Vision Development
- Object detection & segmentation
- OCR & document understanding
- Video analytics & inspection
- Edge deployments for low-latency inference
RAG Development
- Retrieval-augmented generation architectures
- Vector DB integrations (Pinecone, FAISS, Weaviate)
- Document ingestion & embeddings pipelines
- Latency & freshness optimization
RPA Development
- Robotic process automation (UiPath, AA, Power Automate)
- Intelligent document processing
- Human-in-the-loop workflows
- End-to-end process orchestration
AI UX & Product Design
Human-centered AI experiences, prototypes, and usability testing for conversational and visual AI products.
Data Engineering & Pipelines
Robust ingestion, labeling, ETL, feature stores and data contracts to power ML systems.
Edge & On-Prem Deployments
Low-latency inference on edge devices, on-prem GPU clusters and hybrid cloud setups.
AI Technology Stack
Tools, frameworks and platforms we use to build and operate AI systems.
AI / ML Frameworks
PyTorch
TensorFlow
Scikit-learn
XGBoostLLMs & Models
OpenAI GPT
Llama / Meta
Hugging Face
ClaudeVector DB & Search
Weaviate
MLOps & Infra
Kubernetes
Our AI Development Process
A proven, iterative process from discovery to continuous improvement.
Discovery & Strategy
Use-case prioritization, data readiness, ROI and success metrics
Data & Architecture
Ingestion, labeling, feature stores, and infra selection
Model Development
Experimentation, training, validation and bias checks
Deployment & Integration
Serving, CI/CD, inference scaling and API integrations
Monitoring & Optimization
Model monitoring, drift detection, retraining and performance tuning
Engagement Models
Flexible partnership types to match your AI maturity and goals.
AI Strategy Workshops
Short engagements to define vision, data needs and roadmap
End-to-End AI Development
From prototype to production with MLOps and governance
Dedicated AI Squads
Embedded cross-functional teams for ongoing delivery
Optimization & Monitoring Retainers
Continuous improvement and retraining plans
Frequently Asked Questions
Answers to common questions about our AI services.
What types of AI services does Neuralyne provide?
We provide full-spectrum AI services including AI development, consulting, RAG, generative AI, agents, computer vision, ML engineering, RPA, and AI integrations tailored to your domain.
Can you fine-tune or build custom LLMs?
Yes. We fine-tune open models, perform instruction tuning, build retrieval-augmented systems and can help select the right model family based on cost, latency and privacy constraints.
How long does an AI project take?
Timelines vary. A discovery + prototype typically takes 4-8 weeks. Production-grade systems with integrations and MLOps take 3-6 months depending on complexity.
Do you provide MLOps and monitoring?
Yes. We implement MLOps pipelines, CI/CD for models, monitoring, drift detection and retraining strategies to keep models healthy in production.
How do you handle data privacy & compliance?
We design privacy-preserving architectures with pseudonymization, access controls, secure enclaves and follow GDPR / HIPAA guidelines where applicable.
Can AI systems be integrated with our existing platforms?
Absolutely. We integrate with CRMs, ERPs, data warehouses, BI tools and build API-first connectors for seamless adoption.