Most analytics tools require your users to know SQL or
understand data structures. What if they could just ask
a question in plain English and get a trustworthy answer
with charts and forecasts?
That is what I build.
WHAT YOU GET:
- Natural language query interface — users ask questions,
AI generates accurate, grounded answers
- 5 forecasting methods: regression, CAGR, exponential
smoothing, seasonal decomposition, moving average —
all with confidence intervals
- Self-learning knowledge base via pgvector that adapts
to each user's preferences across sessions (ACE engine)
- Automated data cleaning with anomaly detection
(94.3% accuracy in production)
- PDF report generation — multi-section reports with
charts, tables, and narratives in one click
- Multi-LLM provider abstraction — works with Groq,
OpenAI, Ollama, or your own model
- Full graceful degradation — works even without cloud LLM
THE CORE GUARANTEE:
AI explains, math computes. Every number is computed
deterministically. The LLM only narrates what the math
has already verified. No hallucinated statistics reach
your users. Ever.
PROOF OF WORK:
Aura Data Platform (ACE): ~16,500 lines of code, 914
automated tests, 49 API endpoints. Built solo end-to-end.
Live at aura-aitech.com.
MY STACK:
Python · FastAPI · Polars · PostgreSQL 17 · pgvector ·
LangChain · Groq · OpenAI · Ollama · Docker · Linux
WHO THIS IS FOR:
- SaaS companies wanting to add AI analytics features
- Enterprises replacing manual reporting with AI
- Data teams who need insights that are accurate,
not just fast
Tell me about your data and your users. I will tell you
exactly what we can build and how long it will take.