Services · Neural AI

Agents and assistants that understand your business.

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.

Scope this with us See pricing

4–10 weeks

typical engagement

Rs 1.5 lakh

from

1 day

reply from a senior engineer

96%

On-time delivery

What you get

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 changes for you

Multi-step tasks handled end-to-end, not just answered

Hours of manual analysis removed weekly

Decisions backed by your own data

Typical engagement · 4–10 weeks · from Rs 1.5 lakh

What Neural AI looks like in practice

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.

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

Who is Neural AI 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

How this one runs

Four stages, agreed before code.

Scope the use case

We find the workflow where AI genuinely pays off first — not everywhere at once.

Ground it in your data

RAG over your knowledge base and systems, so answers are accurate, not hallucinated.

Build with guardrails

Scoped tools, human-in-the-loop on risky actions, and safety baked in from day one.

Measure & harden

An eval set + tracing prove it works on real tasks before — and after — it ships.

Proof

Built with this service

All work →

Financial services · Rural Nepalblueprint

A voice-first Nepali helpline that answers members over an ordinary phone call

A blueprint for a member helpline that works in Nepali and Maithili over a normal phone call - fine-tuned speech recognition, answers grounded in the institution's own rules, and a warm handoff to staff the moment confidence drops.

~55%

Share of Nepalis whose mother tongue is not Nepali (Census 2021)

11.05%

Maithili speakers as a share of population - the second language this blueprint targets (Census 2021)

~71%

Nepal literacy rate, 2021 - the remainder is why the channel is voice, not chat (World Bank / CBS)

Solution blueprint — the figures above are cited industry benchmarks for this class of system, not results claimed for a named client.

Read the build →

Customer Support · SaaSblueprint

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.

~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)

Solution blueprint — the figures above are cited industry benchmarks for this class of system, not results claimed for a named client.

Read the build →

Travel & Tourism · Nepalblueprint

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.

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

Solution blueprint — the figures above are cited industry benchmarks for this class of system, not results claimed for a named client.

Read the build →

Questions about Neural AI

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.

The other five disciplines

All services →

01Flow AutomationLet the repetitive work run itself 02Studio EngineeringWeb & mobile your customers notice 03Product ForgeConcept to launch-ready, with you at every step 04Cloud & DevOpsInfrastructure that scales while you sleep 05Data & AnalyticsPipelines and dashboards that turn data into decisions

Tell us the task.

One business day for a reply from a senior engineer, and a straight answer on fit — including when the honest answer is that you don't need us.

Start a project [email protected]

Kathmandu · GMT+5:45