AI Development Company That Builds What Others Cannot.

AI development costs start at $19,000 for focused ML models and chatbots, scaling to $131,000+ for enterprise-grade AI platforms with multiple models, real-time inference and compliance requirements. We provide fixed-price proposals after a free scoping session — no hourly billing or scope creep surprises.

A focused AI proof-of-concept takes 4-6 weeks. Production-grade AI systems typically take 12-20 weeks depending on data preparation needs, model complexity and integration scope. Our AI Rapid Launch programme delivers a working PoC in 4 weeks so you can validate the business case before committing to a full build.

We work with all major AI platforms and models: OpenAI GPT-4/GPT-4o, Anthropic Claude 3.5, Meta LLaMA 3, Mistral, Google Gemini, TensorFlow, PyTorch, JAX, LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, ChromaDB) and cloud AI platforms (AWS SageMaker, Azure AI Studio, Google Vertex AI).

Yes. We offer full LLM fine-tuning services including LoRA/QLoRA parameter-efficient fine-tuning, RLHF (reinforcement learning from human feedback), and custom training data preparation. We also build RAG (retrieval-augmented generation) systems that keep your LLM grounded in your proprietary knowledge base without expensive full fine-tuning.

Every model undergoes comprehensive fairness auditing before production deployment. We test for disparate impact across protected attributes, calibration differences, equalized odds and predictive parity. We use SHAP values and LIME for explainability, and we document all findings in a bias audit report. We are ISO 42001 certified for responsible AI.

Absolutely. Most of our AI projects involve integration with existing tech stacks — ERPs, CRMs, data warehouses, mobile apps and web platforms. We build production-grade APIs, SDKs and webhooks that plug seamlessly into your infrastructure with proper error handling, caching and fallback strategies.

AI consulting identifies what to build — assessing data readiness, defining use cases, estimating ROI and creating roadmaps. AI development builds it — model training, API development, integration and deployment. We do both. Every engagement starts with a strategy phase before any development begins.

Yes. We offer tiered SLAs for ongoing AI operations: model performance monitoring, data drift detection, automated retraining pipelines, A/B testing and continuous improvement. Most AI models degrade over time — our MLOps infrastructure ensures your models stay accurate and reliable.

All AI projects run on SOC 2 Type II compliant infrastructure. We implement data encryption at rest and in transit, PII anonymization, role-based access controls and complete audit trails. For healthcare, we are HIPAA-compliant. For finance, we meet PCI-DSS requirements. Your data never leaves your approved cloud environment.

Yes. We design AI systems with EU AI Act compliance built in from the architecture phase. This includes risk classification of your AI use case, mandatory transparency and documentation requirements, human oversight mechanisms, conformity assessments and ongoing post-market monitoring. Our ISO 42001 certification ensures structured compliance processes.