Latency
42 ms
About 30× faster responses
AI engineering studioRAG, agents, chatbots
We are three developers who build RAG systems, AI agents and custom chatbots on your own data. Tell us about a repetitive, high-volume, data-heavy process and we come back with a prototype and a plan.
Improvement is a number, not a feeling. Three before-and-after measurements from our client work.
42 ms
About 30× faster responses
99.8 %
25.8 points more reliable
$1.2k
97% lower infrastructure bill
Source: anonymised client engagement.
Three business cases, one rule: start where a process is frequent, complex and rich in data.
Case 01
Fast, informative, omnichannel agents that handle complexity.
Case 02
Hardworking, non-stop, scalable digital counterparts for your processes.
Case 03
Secure, organized and accessible enterprise intelligence.
One execution pipeline for every engagement, and it starts with a prototype and a plan.
Mapping current data flows and identifying high-frequency bottlenecks.
You getA map of your data flows and the bottlenecks in them
Weaving AI capabilities into your tech stack without the friction.
You getAI capabilities running inside your existing stack
Deploying self-healing pipelines that evolve with your business needs.
You getSelf-healing pipelines in production
Three developers. Pure code. Zero overhead.
One vision: to architect intelligent, human-centric software for those who value efficiency over noise.
Find a frequent and complex process with data, and automation plus AI delivers results.
Frequent×Complex×Data+Automation and AI=Results
The core intelligence stack behind every build.
RAG systems, conversational AI agents, digital twins of business processes and enterprise knowledge hubs. Every project is custom software built on your own data and integrated into the stack you already run.
Tell us about a repetitive, high-volume, data-heavy process. We map your data flows and bottlenecks, then return with a prototype and a plan.
Our path from your raw data to a production chatbot is four weeks: discover, ingest and index, persona and prompting, then ship and iterate. After launch we measure and tune weekly.
With production-grade RAG: hybrid search, reranking and evaluation loops, with retrieval quality checked against a gold test set. Answers are grounded in your sources, cited and auditable.
Projects ship with prompt-injection defenses, PII redaction, rate limits and audit logs from day one.
With dashboards for deflection rate, CSAT, resolution time and cost per conversation, so improvement is a number you can check.
Tell us about a repetitive, high-volume, data-heavy process. We will return with a prototype and a plan.
Prefer email? info@simplyfire.ai