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Neural AI

Agents and assistants that understand your business

Custom AI agents, assistants, and models that plan, act, and bring real understanding to your products and decisions.

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What is Neural AI?

NeuralYug's Neural AI service builds custom AI agents and assistants — systems that plan, call tools, retrieve from your own data, and complete multi-step work in production, not single-turn chatbots.

We build AI agents and assistants that earn their place in production — multi-step systems that plan, call tools, retrieve from your knowledge base, and act across your real systems, not single-turn chatbots. Every agent is grounded in your own data, orchestrated with modern frameworks, and evaluated against real tasks rather than demo prompts. No demos that fizzle; measurable accuracy, guardrails, and evals baked in from day one, so you can adopt agentic AI without losing control of it.

What's included

  • Multi-step AI agents that plan, call tools & act
  • RAG assistants grounded in your knowledge base
  • Domain fine-tuning & evaluation pipelines
  • Document understanding & extraction
  • Safety, guardrails & human-in-the-loop review

What outcomes can you expect?

  • 01Multi-step tasks handled end-to-end, not just answered
  • 02Hours of manual analysis removed weekly
  • 03Decisions backed by your own data

How it works

How does NeuralYug's Neural AI work?

01
Scope the use case
We find the workflow where AI genuinely pays off first — not everywhere at once.
02
Ground it in your data
RAG over your knowledge base and systems, so answers are accurate, not hallucinated.
03
Build with guardrails
Scoped tools, human-in-the-loop on risky actions, and safety baked in from day one.
04
Measure & harden
An eval set + tracing prove it works on real tasks before — and after — it ships.
Scope your neural ai project →

Built with

The stack behind it

PythonLLMs (frontier + open-weight)RAG / pgvectorAgent orchestrationEvals + tracing

Proof of expertise

What this looks like in practice

Real numbers from real engagements and reference blueprints.

Solution blueprintCustomer Support · SaaS

An agentic support desk that resolves routine tickets end-to-end

A blueprint for a customer-support agent that understands a ticket, retrieves the answer from your own help centre and systems, takes the safe action, and resolves — escalating only genuine edge cases to a human.

Illustrative impact based on published industry benchmarks — not results from a specific client.

~60%

Routine tickets an AI agent can resolve end-to-end before a human is needed (leading platforms, vendor-reported)

14%

More issues resolved per hour with gen-AI assist, largest gains for newer staff (NBER, Generative AI at Work)

~85%

Lower cost per routine resolution vs an agent-assisted human contact (Gartner ~$13.50 benchmark)

See the full case study
Solution blueprintTravel & Tourism · Nepal

A multilingual AI trip-planner and concierge for Nepali travel operators

A blueprint for a 24/7 AI concierge that answers travellers in their language, plans itineraries from your real trips and live availability, and hands warm leads to your team.

Illustrative impact based on published industry benchmarks — not results from a specific client.

30%

Typical conversion lift from AI personalisation

68%

Routine chats handled without a human (industry avg)

24/7

Cover across every time zone and language

See the full case study
Solution blueprintAgritech / Cooperatives · Nepal

Crop advisory and price-forecast assistant for cooperatives

A blueprint for an assistant that turns weather, soil, market and pest data into plain-language advice a farmer can act on, delivered by SMS, voice or app.

Illustrative impact based on published industry benchmarks — not results from a specific client.

25%

Typical yield increase from advisory tools

~30%

Income improvement, mid-range benchmark

24%

Higher incomes in Digital Green / J-PAL advisory field trials

See the full case study
View all 6 Neural AI case studies →

Who it's for

  • Teams losing hours to manual analysis, support, or document work
  • Businesses with a knowledge base or data worth putting to work
  • Anyone who tried an AI demo that fizzled in production
  • Leaders who want agentic AI without losing control of it

Based in Kathmandu, Nepal — working with teams locally and across multiple countries.

What does it cost?

We publish clear starting prices. Not sure where to begin? A fixed-price two-week Automation Sprint (from Rs 45,000) maps your best opportunity and is credited toward the build.

Questions

Neural AI FAQ

What's the difference between an AI agent and a chatbot?

A chatbot answers a question; an agent plans, calls tools, and completes a multi-step task end-to-end — then escalates only genuine edge cases to a person.

Do you use ChatGPT or build your own models?

We use the best-fit frontier or open-weight model for each task, grounded in your data with RAG. Training a model from scratch is overkill for most work — we only do it when it genuinely earns its cost.

How do you stop it from hallucinating?

Grounding in your own data, guardrails, human approval on risky actions, and an eval set that measures accuracy on real tasks before it ever ships.

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02Flow Automation

Workflow and process automation that quietly handles the repetitive work, so your team does what matters.

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03Studio Engineering

Web and mobile applications, built with the polish, speed, and reliability your customers notice.

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04Product Forge

End-to-end product engineering — from first concept to launch-ready software, with you at every step.

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05Cloud & DevOps

Scalable cloud infrastructure and DevOps that keep your systems fast, secure, and ready to grow.

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06Data & Analytics

Data engineering, pipelines, and interactive dashboards that turn scattered data into clear, decision-ready visuals.

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➜ ~ ready to ship

Ready to build what's next?

Tell us about your project — we'll reply within one business day with a clear plan and a straight answer on fit.

Start a ProjectBook a call
hello@neuralyug.com · Kathmandu, Nepal