Building the Autonomous Era.
We architect autonomous workflows and hybrid-cloud infrastructure. Whether you need to embed LLM and AI capabilities into an existing system, or build a new AI-native product from scratch — we scope fast and ship production-ready.
Vertex AI
Primary AI Platform
GKE-Ready
Every Deployment
LLM+
Existing Systems Upgraded
n8n
Automation Engine
Built for the Autonomous Era
Four specialised disciplines — from agentic AI workflows and LLM integration to multi-cloud Kubernetes infrastructure.
Enterprise AI Automation
We design and deploy autonomous agentic workflows — multi-step LLM agents that plan, use tools, and execute complex tasks end-to-end, with minimal human-in-the-loop.
- Agentic Workflow Design & Deployment
- Tool-Using & Multi-Step LLM Agents
- n8n + Google Workspace Automation
- CrewAI / LangGraph Orchestration
Hybrid Kubernetes Consultancy
Architect hybrid Kubernetes environments that run affordably on VPS pre-prod clusters and scale seamlessly onto any managed Kubernetes platform — GKE, AWS EKS, or Azure AKS.
- GKE · AWS EKS · Azure AKS Ready
- VPS Pre-Prod (SSDNodes / Linode)
- Cloud-Agnostic Cluster Architecture
- In-house & Edge Cluster Management
LLM Retrofit & AI Uplift
Already have a product or internal tool? We add LLM intelligence to it — search, summarisation, classification, chat, or decision-support — without a full rewrite.
- AI Layer onto Existing Codebases
- Intelligent Search & Summarisation
- Chatbot & Copilot Integration
- Structured Output & Classification
AI Engineering & RAG
We add LLM and AI capabilities to existing systems, and build new AI-native applications. From wiring a RAG layer into a legacy codebase to shipping a Gemini-powered product end-to-end.
- LLM Integration into Existing Systems
- New AI-Native Application Builds
- RAG & Vector DB Architecture
- Prompt Engineering & Model Fine-tuning
Strategic Pre-Prod Efficiency. Enterprise-Scale Ready.
Every infrastructure we deploy is architected to be cloud-agnostic from the first commit. Develop locally, validate on cost-optimised hybrid VPS clusters, and scale seamlessly onto GKE, AWS EKS, or Azure AKS — with zero re-architecture and zero friction.
Multi-Cloud · Managed Kubernetes
Local Development
Engineers iterate fast with local tooling — Docker Compose, Minikube, and Vertex AI SDK.
Hybrid Pre-Prod (VPS)
GKE-architected clusters on Hostinger, SSDNodes or Linode deliver true-to-prod testing at a fraction of managed cloud cost.
Scale on Managed K8s
When traffic demands, workloads migrate to your target cloud — GKE, AWS EKS, or Azure AKS — with zero re-architecture. Cloud-agnostic by design from day one.
Built in-house. sokapal.ai
A live demonstration of Hakiri's full technical stack — AI, automation, and hybrid infrastructure working in concert.
sokapal.ai
A high-performance AI sports intelligence platform delivering real-time match analysis, automated content, and conversational soccer insights — all powered by Google Cloud and Gemini.
Gemini Vision Analysis
Real-time tactical match breakdown powered by Gemini Vision multimodal models, identifying patterns from match footage and data streams.
AI Match-Day Podcasts
Automated post-match audio summaries generated by LLMs and narrated using Google Cloud Text-to-Speech — zero human production effort.
LLM News Assistant
RAG-powered soccer news assistant that surfaces contextually relevant insights, team news, and analysis from curated knowledge bases.
Hybrid GKE Infrastructure
Deployed on a cost-optimised hybrid VPS cluster with full GKE-ready architecture — capable of scaling to Google Cloud on demand.
Ready to Scale? Let's talk.
Whether you need an AI automation sprint, a hybrid pre-prod cluster, or a full Vertex AI integration — we scope fast and deliver production-ready.
48-hour response
We scope your project quickly.
Google Cloud aligned
All deliverables are GCP-native.
Fixed-scope sprints
No scope creep, clear milestones.