arbitechsolutionsIntelligence Beyond Limits
AI & Machine Learning

Production-grade AI that actually ships.

From customer-facing chatbots to autonomous AI agents that close deals while you sleep — we engineer AI products that survive contact with real users. No demos that break in production. No hype-ware.

AI that earns its keep — measurable, reliable, defensible.

We've shipped AI for fintech (fraud detection), healthcare (clinical assistants), e-commerce (personalization), legal (contract analysis), and dozens of other domains. Every project starts with one question: what does success look like, measured in dollars?

  • Custom LLM fine-tuning on your proprietary data
  • Production-ready RAG pipelines with citations and guardrails
  • AI agents that integrate with your existing tools (Slack, CRM, ERP)
  • Cost optimization — we cut LLM bills 60-80% on average
  • SOC 2 compliant, PII redaction, audit logs included
40+
AI Products Shipped
60-80%
LLM Cost Reduction
<200ms
Median Latency
99.95%
Uptime SLA
What We Build

Solutions tailored to your goals

Custom Chatbots & Assistants

Domain-tuned conversational AI for support, sales, and internal ops. Multi-modal, multi-lingual, multi-channel.

  • GPT, Claude, Llama, Mistral
  • Voice + text + image input
  • Slack/Discord/Web/WhatsApp

Autonomous AI Agents

Agents that plan, reason, and act — booking meetings, processing tickets, running workflows end-to-end.

  • LangChain, LangGraph, CrewAI
  • Tool use & function calling
  • Human-in-the-loop fallback

RAG & Knowledge Systems

Turn your docs, wikis, and databases into a queryable AI brain. Cited answers, no hallucinations.

  • Pinecone, Weaviate, pgvector
  • Hybrid search + reranking
  • Citation tracking

AI-Powered SaaS Products

End-to-end SaaS where AI is the product, not a feature. Authentication, billing, scaling — all included.

  • Multi-tenant architecture
  • Stripe + usage-based billing
  • Enterprise SSO ready

Computer Vision

OCR, object detection, video analytics, image generation. Custom models for industry-specific needs.

  • YOLO, SAM, OpenCV
  • Edge deployment (mobile/IoT)
  • Custom training pipelines

Voice & Speech AI

Real-time voice agents, transcription, voice cloning, and IVR replacements for next-gen customer experience.

  • Whisper, Deepgram, ElevenLabs
  • Sub-second latency
  • Phone-grade quality

Custom Model Training

Fine-tune open-source models on your data to build moats competitors can&apos;t buy with API keys.

  • LoRA, QLoRA, full fine-tuning
  • Synthetic data generation
  • Eval frameworks included

AI Workflow Automation

Replace manual ops with AI workflows — invoice processing, lead enrichment, content moderation, and more.

  • n8n, Make, Zapier integration
  • Custom pipelines
  • Cost-tracked execution

Predictive Analytics & ML

Classical ML for forecasting, scoring, and classification — when an LLM is overkill, we ship the right tool.

  • XGBoost, scikit-learn
  • Feature engineering
  • Model monitoring & retraining
Our Approach

How we deliver end-to-end

01

Use-Case Validation

We start with the business problem, not the model. Workshops to identify where AI moves the needle — and where it doesn&apos;t.

02

Data & Architecture Design

What data do you have? What do you need? We design the pipeline — storage, embeddings, eval — before writing a prompt.

03

Prototype in 2 Weeks

Working demo with your real data, real users, real edge cases. We iterate fast and prove value early.

04

Production Hardening

Guardrails, monitoring, fallbacks, cost controls. We don&apos;t hand over a demo — we hand over an SLA.

05

Continuous Improvement

Eval frameworks, A/B testing, model upgrades. AI shifts under your feet — we keep your stack current.

FAQs

Common questions

Which LLMs do you work with?
All major commercial models (OpenAI, Anthropic Claude, Google Gemini) and open-source (Llama, Mistral, Qwen). We pick the right model per use case — cost, latency, and quality all factor in.
Can you fine-tune on our private data?
Yes. We&apos;ve done LoRA, QLoRA, and full fine-tuning on customer data ranging from legal contracts to medical records. All training happens in your cloud — your data never leaves your perimeter.
How do you handle hallucinations?
Three layers: retrieval-grounding (RAG), output validators (schema + content checks), and human-in-the-loop for high-stakes decisions. We can show you eval dashboards for any deployed system.
What&apos;s a typical AI project budget?
MVPs start around $15K (4-6 weeks). Production-grade systems with custom models, multi-channel deployment, and ongoing optimization typically range $50K-$250K. We&apos;ll scope yours after one call.
Do you offer ongoing support after launch?
Yes. Monthly retainer or per-incident — your choice. Most clients move to retainer because AI systems need continuous eval and model updates.
LET'S BUILD TOGETHER

Ready to ship AI that works?

Send us your problem. We'll come back with a use-case audit, a build approach, and an honest estimate — within 48 hours.

Free Discovery Call
NDA Available
Response in 24 Hours
100% Confidential