Custom AI Apps & Chatbots
When your users need answers they can ask for.
As an AI chatbot development company we build the retrieval layer, not just the prompt. RAG-powered knowledge chatbots, branded conversational UIs, and custom LLM applications — multi-tenant, production-grade, with citations users can actually check.
How we build
Custom AI Apps & Chatbots built on foundations that hold
What you get
- RAG architecture done right — hybrid search (BM25 + vector), reranking, citations, no hallucinated facts
- Multi-tenant chat infrastructure with auth, rate limits, and per-tenant knowledge isolation
- Embedded chat UIs that match your brand — Vercel AI SDK, assistant-ui, or fully custom
- Eval suite to catch drift before users do
- Cost telemetry — you'll know what every conversation cost and why
When this is the right fit
Straight answers on where this service earns its cost — and where it does not.
- Your users repeatedly ask the same questions your docs already answer
- You have a knowledge base no one reads
- Your support team is buried in tier-1 tickets
Track record
- 15+
- Years shipping software
- Alian Software since 2010
- 84%
- Retainer renewal rate
- Clients who extend past the first term
- 4–8
- Weeks to first production ship
- Typical fixed-fee sprint
Sample builds
Shapes of work we ship most often in this pillar.
Customer-facing RAG knowledge bot
Citing answers from product docs, changelog, and policy pages. Embedded in your app, your help center, or your marketing site.
Internal ops assistant
Natural-language access to your CRM, ERP, or analytics warehouse — with audit trail and role-based access.
Vertical-specialist LLM app
A purpose-built app for a single workflow — contract review, claim processing, research synthesis — branded and shippable to your customers.
Tech we reach for
Chosen per project. We will tell you when the boring option is the right one.
- Anthropic Claude
- OpenAI
- Vercel AI SDK
- pgvector / Pinecone / Qdrant
- Cohere reranking
- Clerk / Supabase Auth
- Langfuse
Related projects
Work we have shipped in this discipline.
Predictive Maintenance Platform
ML-powered predictive maintenance system using LightGBM on SCADA/IoT sensor data with weekly automated retraining — reduced unplanned downtime by 31% in 90 days.
RAG Knowledge Assistant
Customer-facing RAG chatbot with hybrid search, reranking, and cited answers from 50K+ product documents — handling 80% of tier-1 support tickets autonomously.
Vision Quality Control
Computer vision defect detection pipeline using YOLO with active learning — achieving 97.3% accuracy on manufacturing line inspection with <200ms inference.
Industries we work with
We understand the constraints before we write the first line.
E-commerce & D2C
Storefronts, catalogue tooling, and the support layer around them.
B2B SaaS
Multi-tenant products, dashboards, and in-app AI features.
Manufacturing
Plant floor visibility, quality, and ERP-adjacent systems.
Healthcare
Clinical and back-office tooling under real compliance constraints.
Finance & fintech
Audit-traceable workflows where every decision has to be explainable.
Logistics
Routing, exception handling, and document-heavy operations.
Client reviews
What our clients are saying
Reviews from clients we have delivered for.
Related case studies
Alian Infinity AI ERP
An AI operations layer embedded across 50+ ERP modules — natural-language queries, anomaly detection, suggestion engines — every action traceable to source records.
Auto Issue Resolution: Chatbot + Claude Code
Two-stage autonomous resolution system: a chatbot triages and reproduces customer-reported bugs, then Claude Code in a sandboxed environment opens the codebase, writes a fix, runs tests, and submits a PR for human review.
Got questions? We have answers.
- It's a fine prototype. It's not a product. You can't multi-tenant it, brand it, embed it, version-control your prompts, run evals, or audit its outputs. We build the production version.
No obligation, no deck
Talk to a human about this
Tell us the problem. If custom ai apps & chatbots is not the right answer, we will say so and point you at what is.
24h
Typical reply time on weekdays
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