Connected to everything you already run
CRM, finance, documents, email, Slack. Assembly reads all of it and runs inside your existing data platform, so nothing moves.
Businesses run across CRMs, ERPs, spreadsheets, email and Slack. The data exists, it just isn’t unified or trusted. So reconciliation stays manual and AI has no context to work from.
Assembly unifies the business context your teams and AI need to be effective. It connects structured systems and unstructured information into a single trusted context layer, so teams can move from fragmented data to reliable answers, automation, and action.
CRM, finance, documents, email, Slack. Assembly reads all of it and runs inside your existing data platform, so nothing moves.
AI is only as good as what it knows about your business. Assembly teaches it what your data means, so the same question always returns the same answer.
The same customer exists five times under four names. Assembly joins them into one, with every original still traceable.
Assembly runs inside your own Snowflake or Databricks environment. No data egress, no new vendor to approve, and nothing exposed to an external model.
100%
of answers traced back to source
Every figure links to the record it came from and the rule that produced it. When risk, audit or the board asks how you got there, the answer is already documented.
10%
of revenue leakage recovered
Billing and operational systems quietly disagree, and the difference is revenue. Assembly surfaces the mismatches while they can still be recovered.
100%
of records resolved to one identity
The same person exists in CRM, billing, loyalty and support under different names. Assembly resolves them into one record, with every source still traceable.
50%
faster month-end close
Reconciliation runs continuously in the background instead of in a scramble at period end. Your team reviews the numbers rather than assembling them.
Businesses run across CRMs, ERPs, spreadsheets, email and Slack. The data exists, it just isn’t unified or trusted.
So reconciliation stays manual and AI has no context to work from.
Assembly unifies the business context your teams and AI need to be effective. It connects structured systems and unstructured information into a single trusted context layer, so teams can move from fragmented data to reliable answers, automation, and action.
CRM, finance, documents, email, Slack. Assembly reads all of it and runs inside your existing data platform, so nothing moves.
AI is only as good as what it knows about your business. Assembly teaches it what your data means, so the same question always returns the same answer.
The same customer exists five times under four names. Assembly joins them into one, with every original still traceable.
Assembly runs inside your own Snowflake or Databricks environment. No data egress, no new vendor to approve, and nothing exposed to an external model.
100%
of answers traced back to source
Every figure links to the record it came from and the rule that produced it. When risk, audit or the board asks how you got there, the answer is already documented.
10%
of revenue leakage recovered
Billing and operational systems quietly disagree, and the difference is revenue. Assembly surfaces the mismatches while they can still be recovered.
100%
of records resolved to one identity
The same person exists in CRM, billing, loyalty and support under different names. Assembly resolves them into one record, with every source still traceable.
50%
faster month-end close
Reconciliation runs continuously in the background instead of in a scramble at period end. Your team reviews the numbers rather than assembling them.
Case study film — coming soon
Financial Services
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Sim Tshabalala,
CEO
Industrial Tech
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Sim Tshabalala,
CEO
Retail & Media
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Sim Tshabalala,
CEO
Telecommunications
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Ullamco deserunt cillum pretium risus minim turpis exercitation excepteur. Curabitur minim fugiat non do do est adipiscing fames duis.
Sim Tshabalala,
CEO
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Author,
Position
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Position
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Position
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Position
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Position
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Position
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Position
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