THE AI-DRIVEN BI ANALYST
Ask your data.
Get the answer,
not a ticket.
Asky is conversational BI that stays inside your building. Type a question in plain language — Asky finds the right table, generates safe SQL, dry-runs it, and returns a chart with the business read.
On-prem & air-gapped/BYOK LLM keys/EXPLAIN safeguard/Oracle · PostgreSQL · MySQL · MSSQL
What is Asky?
Asky is an AI-driven BI analyst from B2Metric: conversational business-intelligence software that runs on-premises, answers plain-language questions by generating safe, read-only SQL against Oracle, PostgreSQL, MySQL and MSSQL databases, and returns a chart with a written business insight — without sending your data to the cloud.
The data-team bottleneck
Business users wait days for answers. Every new question becomes an IT ticket, and every dashboard rots right after the one question it was built to answer.
of analytics queries will be natural-language or voice by 2026 — up from under 5% today (Gartner).
is the typical wait for a new ad-hoc report to reach the person who asked for it.
dashboards built in a typical enterprise — most unused after the first answer.
How it works
Question in, governed answer out
Ask in plain language
Any language, in the words your business already uses. No SQL, no dashboard hunting.
Find the right table
Mem0 semantic memory maps your schema and business rules — learned from conversation, not from a rebuild.
Guard, then execute
Rule-based engine first, LLM only as fallback. Read-only SQL, EXPLAIN dry-run and cost estimate before a query ever runs.
Answer + chart + insight
A chart and a plain-language business read — not a SQL string handed back to a non-technical user.
Why Asky — three pillars
Your data stays yours
On-prem, BYOK LLM, CMEK. No hyperscaler dependency — the default choice for regulated industries.
Memory that learns
Mem0 semantic memory picks up your business rules from chat. No IT ticket to update logic.
Safe by default
EXPLAIN pre-execution guard, read-only SQL, 3-layer token quotas and full audit logs.
What only Asky does
EXPLAIN safeguard
Dry-runs a cost estimate before every query. Asky cannot crash your production database.
True air-gapped on-prem
Your data never leaves the building. ThoughtSpot, Databricks and Snowflake are cloud-only.
3-layer token quotas
Finance controls LLM spend at session, user and team level — not just a monthly cap.
Mem0 semantic memory
Learns “revenue = net revenue − refunds” from a single chat message. No IT needed.
BYOK LLM per customer
Bring your own OpenAI or Azure key — or a fully local model. Asky never stores your credentials.
Per-customer language
Every customer asks and reads answers in their own language — any language, with the same guardrails applied.
Asky vs. the market
Where conversational BI stops being available to a regulated enterprise.
| Capability | Asky | ThoughtSpot | Databricks Genie | Snowflake Cortex | Wren AI |
|---|---|---|---|---|---|
| On-prem / air-gapped | Yes | No | No | No | Cloud only (paid) |
| BYOK LLM keys | Per-customer | Experimental | No | No | No |
| Multi-DB (Oracle / PG / MySQL / MSSQL) | Yes | Cloud-only | Lakehouse only | Snowflake only | Connectors |
| EXPLAIN safeguard | Unique | No | No | No | No |
| 3-layer token quotas | Yes | No | Compute billing | Per-message | No |
| Semantic memory | Learns | Static graph | Ontology | Stateless | No |
| On-prem governance (RBAC / RLS / CLS / audit) | Full | Cloud only | Unity (cloud) | Cloud only | Paid cloud only |
The questions buyers actually ask
Won’t the LLM hallucinate SQL?
Rule-based engine first, LLM only as fallback. Every query is guarded and EXPLAIN dry-run, with self-correction on error. Authorized roles can view and verify the SQL.
Does our data go to an AI outside?
Queries run in your own warehouse; access is via SSO + RBAC; token and cost limits apply. A fully local-LLM option is available.
Does everyone see all the data?
SQL visibility is role-based — viewers see only the answer and chart. Multi-tenant isolation keeps user and team scopes 1–1.
Our schema is custom and keeps changing
Adapted with no code — update the vault .md files (keywords, order, insights) and Asky follows.
Will LLM cost run away?
3-layer token quotas at session, user and team level, set by admins. Local LLMs are counted too.
We already have Power BI
Asky is a natural-language layer, not a rival — it closes the open-ended questions dashboards can’t answer.
Start small
One warehouse, one business unit,
a few vault topics
A fast, low-risk proof of concept. Success is measured on questions answered without asking the data team — and on time-to-answer.
- ■The demo adapts real business test-case scenarios to your data
- ■On-prem or SaaS — your choice; your data, your LLM keys
