Data Pre-processing & Labelling
Pandas, Spark, and Label Studio pipelines ensure only high-fidelity data reaches your model.
LLM Engineering Services
Design, customise, and operationalise large language models that fit your business—end-to-end. Our LLM engineering services turn cutting-edge research into production-grade solutions without the hype.
From Proof-of-Concept to Production—Faster
Enterprises and fast-moving SaaS companies alike face the same hurdle: transforming an impressive demo into a reliable, secure, and maintainable AI product. Our LLM engineering services cover every phase—data curation, model selection, fine-tuning, evaluation, deployment, and ongoing optimisation—so your teams can focus on shipping features, not babysitting models.
Battle-Tested Engineering Accelerators
End-to-End Prompt Engineering
Metadata-rich prompt libraries, version control, and A/B testing to improve response quality.
Retrieval-Augmented Generation (RAG) Pipelines
Vector search, hybrid search, and chunking strategies that reduce hallucinations by up to 60%.
Multi-Model Orchestration
Routing layers that dynamically pick the best model—open-source or proprietary—based on cost, latency, or quality.
Evaluation Frameworks
Automated metrics (BLEU, ROUGE, GPT-Score) plus human-in-the-loop reviews for continuous improvement.
Secure API Gateways
Rate-limiting, audit logging, and role-based access so every token generated is fully compliant.
Cost-Aware Auto-Scaling
GPU pooling, quantisation, and batching algorithms that cut inference spend without hurting latency.
Why Choose Our Blockchain Development Services
Our React Native Expertise
Our CMS Development Services
Our Vue.js Expertise
Core LLM Engineering Services
Our Vue.js app development experts help your company to achieve your business and tech goals, building efficient, responsive and optimized application in a cost effective way.
Engagement Models Tailored to Your Reality
OUR TECHNOLOGY STACK
Fine-Tuning & Alignment
LoRA, QLoRA, and PEFT to adapt open-source LLMs at a fraction of the compute cost.
Embeddings & Vector Stores
Faiss, Milvus, and Pinecone integrations that power real-time, low-latency RAG systems.
Serving & Inference
vLLM, Triton, and TGI behind Kubernetes or serverless endpoints for sub-second responses.
Observability & Monitoring
Evidently AI, Prometheus, and Grafana dashboards tracking drift, bias, and token usage.
Governance & Security
Policy-as-Code with OPA, HashiCorp Vault, and signed model artefacts that satisfy SOC 2 and HIPAA audits.
Workflow Orchestration
Argo Workflows and Kubeflow Pipelines for CI/CD across data, models, and prompts.
Experiment Tracking
MLflow, Weights & Biases, and DVC capturing every hyper-parameter and artefact.
Cost Management
Karpenter and Cluster Autoscaler rules to leverage spot GPUs without downtime.
OUR TECHNOLOGY STACK
Data Pre-processing & Labelling
Pandas, Spark, and Label Studio pipelines ensure only high-fidelity data reaches your model.
Fine-Tuning & Alignment
LoRA, QLoRA, and PEFT to adapt open-source LLMs at a fraction of the compute cost.
Embeddings & Vector Stores
Faiss, Milvus, and Pinecone integrations that power real-time, low-latency RAG systems.
Serving & Inference
vLLM, Triton, and TGI behind Kubernetes or serverless endpoints for sub-second responses.
Observability & Monitoring
Evidently AI, Prometheus, and Grafana dashboards tracking drift, bias, and token usage.
Governance & Security
Policy-as-Code with OPA, HashiCorp Vault, and signed model artefacts that satisfy SOC 2 and HIPAA audits.
Workflow Orchestration
Argo Workflows and Kubeflow Pipelines for CI/CD across data, models, and prompts.
Experiment Tracking
MLflow, Weights & Biases, and DVC capturing every hyper-parameter and artefact.
Cost Management
Karpenter and Cluster Autoscaler rules to leverage spot GPUs without downtime.
OUR TECHNOLOGY STACK
Data Pre-processing & Labelling
Pandas, Spark, and Label Studio pipelines ensure only high-fidelity data reaches your model.
Fine-Tuning & Alignment
LoRA, QLoRA, and PEFT to adapt open-source LLMs at a fraction of the compute cost.
Embeddings & Vector Stores
Faiss, Milvus, and Pinecone integrations that power real-time, low-latency RAG systems.
Serving & Inference
vLLM, Triton, and TGI behind Kubernetes or serverless endpoints for sub-second responses.
Observability & Monitoring
Evidently AI, Prometheus, and Grafana dashboards tracking drift, bias, and token usage.
Governance & Security
Policy-as-Code with OPA, HashiCorp Vault, and signed model artefacts that satisfy SOC 2 and HIPAA audits.
Workflow Orchestration
Argo Workflows and Kubeflow Pipelines for CI/CD across data, models, and prompts.
Experiment Tracking
MLflow, Weights & Biases, and DVC capturing every hyper-parameter and artefact.
Cost Management
Karpenter and Cluster Autoscaler rules to leverage spot GPUs without downtime.
Engagement Models Tailored to Your Reality
Discovery & Architecture Blueprint
Rapid 2-week deep dive to align business goals with technical choices and build an actionable roadmap.
Prototype to MVP
Hands-on sprint to ship a secure pilot—complete with RAG pipeline, evaluation harness, and dashboards—in 6–8 weeks.
Production Hardening & Optimisation
Scaling, cost governance, and performance tuning so your LLM product thrives under real-world load.
Use Cases
- Conversational Support Agents: Reduce ticket resolution time by 40% through context-aware assistants fine-tuned on your knowledge base.
- Automated Code Review: Custom LLMs trained on your code repos surface style violations and security flaws before merge.
- Personalised E-commerce Search: Dynamic product descriptions and search ranking powered by real-time user intent analysis.
Our Industry Experience
Healthcare
Ecommerce
Fintech
Travel and Tourism
Security
Automobile
Stocks and Insurance
Restaurant
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