AI Consulting & Services
AI integration, machine learning solutions, and intelligent automation for real products — not slide decks. We help you embed AI into workflows, build predictive models, design LLM-powered features, and deploy responsibly.
From document processing and chatbots to recommendation engines and predictive maintenance, we focus on practical implementations with measurable ROI.
Practical AI that ships to production
AI hype is everywhere; production AI is hard. We bridge that gap — assessing your data readiness, selecting the right models (open-source or API-based), building pipelines, and integrating AI features into your existing software without breaking what already works.
Key benefits
- AI readiness assessment
- LLM & chatbot integration
- Process automation with AI
- Predictive analytics models
- Responsible AI practices
- Measurable ROI focus
Technologies we use
- React / Angular / Vue / Svelte
- Node.js / Python / Java / Go / Rust / .NET / PHP
- Mobile (iOS / Android / React Native / Flutter)
- DevOps / AWS / Azure / GCP
What we deliver
- AI and ML integration
- LLM & chatbot solutions
- Document intelligence (OCR/NLP)
- Process automation
- AI system architecture
- Model monitoring & retraining
Industries we serve
- Manufacturing
- Customer Support
- Finance
- Healthcare
- Legal & Compliance
- Retail
Pricing & engagement models
Transparent pricing tailored to your scope. All plans include a free consultation — contact us for an exact quote.
AI Assessment
$1,000
Fixed / 1–2 weeks- Use case workshop
- Data readiness review
- Architecture recommendation
- ROI estimate
- Implementation roadmap
AI POC Build
$2,500+
2–4 week sprint- Single use case POC
- Model selection & tuning
- Integration prototype
- Accuracy benchmarking
- Go/no-go recommendation
Production AI
Custom
Full implementation- Production deployment
- API integration
- Monitoring & alerting
- Cost optimization
- Ongoing model updates
Why choose Hiraba
Product engineers first
We integrate AI into real apps — ERP, portals, and SaaS — not isolated experiments.
Vendor-neutral
Open-source, OpenAI, Claude, or on-prem models — best fit for your data and budget.
Privacy-aware
Data handling, encryption, and compliance designed into every engagement.
Frequently asked questions
We fine-tune and integrate models for your use case. Custom training when data volume justifies it.
Yes — we embed via APIs, microservices, and background jobs without rewriting your app.
We follow least-privilege access, encryption, and can deploy on-prem or VPC-isolated environments.
OpenAI, Anthropic Claude, open-source models via Ollama/vLLM, and Azure OpenAI.
Defined KPIs upfront — accuracy, time saved, conversion lift, or cost reduction.
Operational Efficiency
AI automation handles repetitive document processing, customer queries, and data extraction — freeing teams for higher-value work. Measured deployments target 30–50% time savings on targeted workflows within the first quarter.
AI capabilities
- LLM chatbots & assistants
- Document OCR & extraction
- Predictive analytics
- Process automation
- AI readiness assessment
01 Background
Every company is under pressure to adopt AI, but most lack clean data, clear use cases, and in-house ML expertise. Pilot projects stall in PowerPoint.
Hiraba integrates AI into real products — ERP, portals, and SaaS — with practical ROI focus, not research experiments. We assess readiness before writing code.
02 The Challenges
Generic ChatGPT wrappers do not solve business problems. Custom models need quality data, evaluation metrics, and production monitoring.
Privacy, hallucination risk, and integration with existing auth and workflows are often afterthoughts.
AI adoption barriers
- Unclear ROI on AI spend
- Poor data quality
- No production MLOps
- Security & privacy concerns
03 The Solution
We start with a fixed-price assessment and 2–4 week POC on your highest-ROI use case. Success metrics are defined before build begins.
Production integration uses APIs, microservices, and monitoring — embedding AI into existing apps without disruptive rewrites.
Our Process
How we deliver ai consulting
A proven four-step approach — from first call to production delivery and ongoing support.
AI Assessment
Evaluate use cases, data quality, privacy constraints, and expected ROI. Deliver a prioritized roadmap.
Proof of Concept
Build a focused POC in 2–4 weeks to validate accuracy and user acceptance before full investment.
Production Integration
Embed AI into your app via APIs, microservices, or batch pipelines with monitoring.
Optimize & Scale
Fine-tune models, reduce latency and cost, and expand to additional use cases.
Projects delivered
Custom software, SaaS, and mobile apps for clients worldwide.
Days to MVP
Rapid prototyping for founders and enterprises validating new ideas.
Founded
Over a decade of software delivery from Ahmedabad, India.
Ready to get started?
Book a free consultation. We'll understand your goals and recommend the right engagement model — fixed-price, dedicated team, or phased delivery.
Book Free Consultation