Large Language Models at Shivacha
Foundation models for text, reasoning and tool use — hosted and open-weight.
Overview
Large language models power assistants, copilots, agents, extraction and summarisation. We work across hosted frontier models and open-weight models deployed in private environments, routing between them by task, cost, latency and data sensitivity through a model gateway.
LLMs are probabilistic; we add grounding, validation, guardrails and evaluation to make outputs reliable.
Why we use it
- Natural language understanding
- Reasoning and tool use
- Structured output generation
- Rapid capability improvement
How we use it
Large Language Models in our engineering work
Assistants and copilots
Grounded conversational interfaces.
Extraction
Structured data from unstructured text.
Agents
Planning and tool calling for tasks.
Services
Services that use Large Language Models
LLM Development
LLM application and platform engineering: model selection, fine-tuning, serving, evaluation and cost-optimised inference.
Learn moreGenerative AI Development
Generative AI applications for text, documents, code and media — grounded in your data and engineered for production reliability.
Learn moreAI Agent Development
AI agents that plan, use tools and complete multi-step business tasks — with scoped permissions, approvals and full audit trails.
Learn moreVoice AI Development
Voice AI agents and speech systems for calls, transcription and voice interfaces with natural, low-latency conversation.
Learn moreAI Development
End-to-end AI development: from use-case selection and data preparation to models, applications and production operations.
Learn moreAgentic AI Development
Multi-agent and agentic systems that coordinate specialised agents across long-running workflows with supervision and control.
Learn moreProducts
Products built with Large Language Models
Shivacha AI SaaS Starter
The foundations of an AI SaaS product — ready to build your differentiation on.
Learn moreShivacha Agent Platform
Build, govern and operate AI agents that do real work across your systems.
Learn moreShivacha AI Support
AI support that resolves, not just responds — grounded in your knowledge and systems.
Learn morePairs well with
What we combine with Large Language Models
Models, retrieval, agents and ML operations.
Insights
Related insights
AI development cost: what you pay for when you build an AI product or agent
Model fees are rarely the main cost. Data preparation, evaluation, integrations and guardrails decide both the budget and whether the system works.
Learn moreWhy most AI pilots never reach production — and the engineering that fixes it
The model is rarely the problem. Retrieval quality, evaluation, integration and governance decide whether an AI pilot becomes a production system.
Learn moreDesigning AI products users trust
Trust in AI products is designed: show sources, make uncertainty visible, make correction easy and keep humans in control of consequential actions.
Learn more
Build with Large Language Models.
Tell us about your project, or the engineers you need, and we will propose an approach.