AnalystIQby Algoscale
AI Analysts are live · GA today

An AI analyst for every team in your business.

Marketing, Sales, Growth, Finance — each gets an analyst that already knows their stack, their KPIs, and the questions they keep asking.

AlgoscaleOwner · usc1AskIntegrationsAnalystsNEWMetadataSavedANALYSTSYour AI AnalystsOne Analyst per team. Bundle the sources, ask cross-system questions, get one answer.+ Hire an Analyst📣Marketing AnalystROAS · MQL→SQL · CACGA4HubSpotStripeAsk Marketing Analyst a question…Ask💰Sales AnalystPipeline · Win rate · VelocityHubSpotStripeAsk Sales Analyst a question…Ask🚀Growth AnalystDAU · Activation · RetentionPostgresGA4MixpanelAsk Growth Analyst a question…Ask📊Finance AnalystMRR · Churn · NRRStripePostgresAsk Finance Analyst a question…Ask

Analysts

An analyst for every team.

Each Analyst bundles the integrations the team actually uses, shares its semantic layer with the planner, and persists every conversation so the team builds on each other's work.

Marketing Analyst

For the marketing team

Sources

Google AnalyticsHubSpotStripe

Questions they ask

  • “Which channels drove the highest-value customers last quarter?”
  • “What's the MQL → SQL conversion rate this month?”
  • “How is CAC trending by acquisition channel?”

Sales Analyst

For revenue + sales ops

Sources

HubSpot / SalesforceStripe

Questions they ask

  • “Show pipeline coverage vs target for each AE this quarter.”
  • “What's our win rate by lead source over the last 6 months?”
  • “Which deals slipped from last quarter and why?”

Growth Analyst

For product + growth

Sources

PostgresGoogle AnalyticsMixpanel

Questions they ask

  • “Any pattern between signups and traffic over the last 30 days?”
  • “What's the activation funnel for users who signed up last week?”
  • “Which features drive the strongest 30-day retention?”

Finance Analyst

For finance + the CFO desk

Sources

StripePostgres warehouse

Questions they ask

  • “Plot net revenue retention by signup-month cohort.”
  • “What's MRR by plan, and where is churn coming from?”
  • “How much runway do we have at current burn?”

Customer story

From simple counts to ten-table joins — one company's stack.

A leading global oncology biotech connected their Redshift warehouse to AnalystIQ and now answers 65+ business questions a week across 100k+ HCP engagements — payments, publications, trials, events, detailing, sales — without their data team writing SQL.

Life sciences & pharma

Oncology biotech · 10k+ employees · 70+ markets

Stack: Redshift + AnalystIQ

Lookups & counts

  • “List top 5 HCPs with highest payment”
  • “What are the products for Amgen?”
  • “Total detailing count by month”

Cross-source joins

  • “HCPs who published in 2023, attended an event in 2023, and were part of a trial”
  • “How many HCPs are common in trials, events, and publications?”
  • “First author who also spoke at events and got no Pfizer payment”

Multi-condition & analytical

  • “RANK HCPs by total payments within each year”
  • “HCPs who got payments from 5+ companies in '23+'24, >1 pub in 2020, no events in 2021 — show avg by company”
  • “HCPs with >3 publications, ≥2 events, and payments from ≥3 companies in 2023”
Read the case study — all 65+ questions

How it works

Four steps from sources to answers.

You stay in control at every step. Nothing reaches the LLM that you haven't explicitly put in scope. Each Analyst bundles the outcome of these four steps into a queryable surface for one team.

Step 1

Connect

Plug in your databases, warehouses, web analytics, CRMs, or MCP servers. OAuth or credentials — minutes, not days.

Step 2

Scope

Pick the exact tables and fields AnalystIQ is allowed to see. Default is nothing — you opt in, and the boundary is enforced at three layers.

Step 3

Bundle

Group connected sources into an Analyst named after the team that uses it — Marketing, Sales, Growth, Finance. One Analyst, many sources.

Step 4

Ask

Ask the Analyst in plain English. The pipeline plans, validates, runs, and explains — across every source in the bundle.

The ask flow

Ask once. Watch the team work.

Type your question. The pipeline routes, picks schema, disambiguates, plans, validates, runs, and explains — live in the sidebar. Results land as the chart your data team would have built. Every step is auditable; every plan is attached to the answer.

AlgoscaleOwner · usc1AskIntegrationsAnalystsNEWMetadataSavedMANAGEMembersUsageBillingCONVERSATIONSSignups vs trafficGrowth · 2m agoRevenue by sourceMarketing · todayPipeline by stageSales · yesterdayMRR trend Q1Finance · MonActivation funnelGrowth · MonSignups vs trafficANALYSTGrowth · 3 sourcesany pattern between signups and traffic?PIPELINERouterSchema selectorDisambiguatorPlannerValidatorExecutorInterpreterJoined GA4 + Postgres on date · 91 rows in 1.4sSignups closely track sessions through Feb; the dipon Feb 19–22 came from a 38% drop in /pricing traffic.1.2k900600300Feb 1Feb 5Feb 10Feb 15Feb 20Feb 25Mar 1GA4 sessionsPostgres signupsView SQL · Export CSVAsk Growth anything…Ask⌘+↵ to send · ↑ for previous

Integrations

Connect once. Every Analyst inherits.

Databases, warehouses, web analytics, CRMs, billing, product analytics — connect via OAuth or credentials, scope each source to the tables and fields you want exposed, and assign it to whichever Analysts need it.

AlgoscaleOwner · usc1AskIntegrationsAnalystsMetadataSavedINTEGRATIONSConnect your data22 sources across databases, warehouses, web analytics, CRMs, billing, and product analytics.AllDatabasesWarehousesWebCRMsBillingProductPPostgresDatabaseConnectMMySQLDatabaseConnectSSnowflakeWarehouseConnectBBigQueryWarehouseConnectRRedshiftWarehouseConnectAAthenaWarehouseConnectGGA4WebConnectHHubSpotCRMConnectSSalesforceCRMConnectSStripeBillingConnectMMixpanelProductConnectCClarityWebConnect

Already where your data lives

Twenty-two sources, one query language.

  • Databases
  • ·Web Analytics
  • ·CRM
  • ·Marketing & Sales
  • ·E-commerce & Payments
  • ·Model Context Protocol
9 available11 soon
R

Amazon Redshift

Available

A

AWS Athena

Available

Google Analytics

Available

M

MCP Server

Available

F

Microsoft Fabric

Available

SQL

Microsoft SQL Server

Available

MySQL

Available

PostgreSQL

Available

Snowflake

Available

BigQuery

Coming soon

R

Amazon Redshift

Available

A

AWS Athena

Available

Google Analytics

Available

M

MCP Server

Available

F

Microsoft Fabric

Available

SQL

Microsoft SQL Server

Available

MySQL

Available

PostgreSQL

Available

Snowflake

Available

BigQuery

Coming soon

ClickHouse

Coming soon

HubSpot

Coming soon

K

Kissmetrics

Coming soon

Cl

Microsoft Clarity

Coming soon

Mixpanel

Coming soon

Pd

Pipedrive

Coming soon

Salesforce

Coming soon

Shopify

Coming soon

Stripe

Coming soon

Sm

Supermetrics

Coming soon

ClickHouse

Coming soon

HubSpot

Coming soon

K

Kissmetrics

Coming soon

Cl

Microsoft Clarity

Coming soon

Mixpanel

Coming soon

Pd

Pipedrive

Coming soon

Salesforce

Coming soon

Shopify

Coming soon

Stripe

Coming soon

Sm

Supermetrics

Coming soon

Under the hood

A team of specialist agents per question.

Each conversation runs through a seven-stage pipeline: a router decides intent, a schema selector picks the right tables, a disambiguator catches ambiguity early, the planner writes SQL or API calls, a validator gates them, the executor fans out across sources in parallel and joins the results in process, and the interpreter picks the chart and explains the answer. Every plan is attached to every reply, so the work is auditable.

YOUR ENVIRONMENTANALYSTIQ PIPELINETHE ANSWERDatabasesPostgres · Snowflake · BigQueryPostgresSnowflakeBigQuerySaaS APIsGoogle Analytics · HubSpot · SalesforceGoogle AnalyticsHubSpotSalesforceMCP serversTools, resources, customToolsResourcesCustomSCOPE FILTERyou opt in to specific tables & fieldsRead-only accessAnalystIQ never writes back“how many active users in the last 30 days?”1Schema selector2Planner3Validator4Executor5InterpreterSEMANTIC LAYERtable & column descriptionsjoins · example questionsANSWER4,213 active usersYour data stays in your infrastructure. AnalystIQ uses a read-only role; nothing outside scope ever reaches the LLM.

Hire your first AI Analyst today.

Connect two sources, name the Analyst after your team, and ask your first cross-system question. The semantic layer drafts itself in the background.