AiGanakProduction AI systems, from the workflow down to the model.
Five ways we work with you. Most engagements start with an audit or a fixed-scope proof of concept, so you see numbers before you commit.
AiGanak builds production AI systems: multi-agent workflow automation on n8n and Make, prompt hardening and guardrails, private model deployment, and custom small or large language model development delivered as proof of concept, MVP and production.
LLM Cost & Reliability Audit
The LLM Cost & Reliability Audit measures your OpenAI, Anthropic, Azure, Bedrock or Gemini usage from your own logs, prices every saving (model routing, caching, prompt trimming, retrieval, batch) against your approved answers, and ranks reliability risks. A free Quick Check gives an instant estimate.
Learn more →SystemsMulti-agent workflow automation (n8n and Make)
AiGanak builds n8n and Make multi-agent workflows that connect databases, CRMs, ERPs and messaging to language models with stateful routing, guardrails and cost tracking.
Learn more →SecurityPrompt hardening and LLM guardrails
AiGanak hardens LLM integrations against prompt injection, format failures and token waste using XML-structured prompts, negative constraints, input isolation and CI validation, backed by Prompt Lab diagnostics.
Learn more →InfrastructurePrivate and on-premise LLM deployment
AiGanak deploys and optimises open-weight language models in a client's own cloud account or on-premise, including offline setups, so enterprise data never reaches public AI APIs.
Learn more →R&DCustom small language model development
AiGanak builds domain-specific small and large language models in stages: a proof of concept on sample data with an evaluation report, an MVP for a pilot team, then private production deployment. The work uses the training pipeline built for AiGanak-SLM-1B.
Learn more →Tools behind the services
Prompt Lab and Model Lab power our diagnostics, and you can use them directly.
What we put in writing
Cost per task from week one
Every demo shows what each run costs in tokens and money.
You own the output
Code, prompts, workflows and fine-tuned weights are yours at handover.
Tests before go-live
A written evaluation suite with pass rates, rerun on every change.
Questions people ask
Can't find it? Press ⌘K and ask.
What kinds of AI projects does AiGanak take on?
Workflow automation with AI agents, hardening LLM prompts and guardrails, deploying models privately, and building custom small or large language models. Most engagements start with an audit or a scoped proof of concept.
Can you work with our existing n8n or Make setup?
Yes. We extend existing n8n and Make scenarios with agents, stateful routing and guardrails rather than replacing them.
Tell us what you're building.
AiGanak Agent drafts a scoped proposal in a few minutes. An engineer reviews it with you.