01
Your knowledge, your voice
We ingest PDFs, Notion, Confluence, product catalogs, tickets and FAQs. The assistant speaks in your tone, never generic.
Custom AIchatbotsbuilt onyour context.
A chatbot should not sound like every other chatbot. We engineer bespoke conversational agents trained on your data, tuned to your voice and integrated into your stack.
How can I help you today? I know your product catalog, pricing and return policy.
Can I return a laptop opened 12 days ago?
Yes. Your 14-day return window is still open. I started return ticket #RT-04281 and emailed the prepaid label.
Generic assistants are cheap. Generic results are expensive.
Our custom context engine combines your documents, product data, support history and brand voice into a single source of truth, then ships it as a conversation interface your users actually enjoy.
- Documents
- Product data
- Support history
- Brand voice
Context
engine
engine
- Website
- Slack
- Intercom
- Mobile apps
What makes it different
02
Retrieval that actually retrieves
Production-grade RAG with hybrid search, reranking and evaluation loops. Answers are grounded, cited and auditable.
03
Omnichannel by default
Ship the same brain to your website, WhatsApp, Slack, Intercom and mobile apps. One source of truth, many surfaces.
04
Human escalation, done right
Smart handoff with full conversation context, sentiment detection and SLA-aware routing to your support team.
05
Guardrails and governance
Prompt-injection defenses, PII redaction, rate limits and audit logs. Enterprise-ready from day one.
06
Measurable ROI
Dashboards for deflection rate, CSAT, resolution time and cost per conversation. Improvement is a number, not a feeling.
Raw data to production in four weeks
Most teams waste months fine-tuning a model when they should be engineering context. This is our path from your raw data to a production chatbot.
01
Discover
We map your knowledge sources, top use cases and the metrics that matter.
02
Ingest and index
We chunk, embed and evaluate retrieval quality against a gold test set.
03
Persona and prompting
We shape the voice, safety boundaries and escalation rules around your brand.
04
Ship and iterate
We deploy, measure and tune weekly. Your chatbot gets smarter while you sleep.
03 / Built with
- RAG
- LangChain
- OpenAI
- Anthropic
- Postgres + pgvector
- FastAPI
What data can the chatbot learn from?
We ingest PDFs, Notion, Confluence, product catalogs, tickets and FAQs. The assistant answers in your tone of voice, grounded in those sources.
Which channels can it run on?
The same assistant ships to your website, WhatsApp, Slack, Intercom and mobile apps. One source of truth, many surfaces.
What happens when the chatbot cannot answer?
It hands the conversation to your support team with the full context, sentiment detection and SLA-aware routing.
How do you prevent wrong or unsafe answers?
Retrieval uses hybrid search, reranking and evaluation loops, so answers are grounded, cited and auditable. Guardrails cover prompt-injection defenses, PII redaction, rate limits and audit logs.
How do we know the chatbot pays off?
You get dashboards for deflection rate, CSAT, resolution time and cost per conversation.
How long until the chatbot is live?
Four weeks from your raw data to production: discover, ingest and index, persona and prompting, then ship and iterate.
Ready to build a chatbot that knows your business?
We take a limited number of projects each quarter. Tell us what you need and we will respond within one business day.
Prefer email? info@simplyfire.ai