Less clicking, more thinking
Less clicking, more thinking
Less clicking, more thinking
From intent to outcome: one chat, one click, zero busywork
From intent to outcome: one chat, one click, zero busywork
From intent to outcome: one chat, one click, zero busywork
Multi-agent automation that scales execution — not headcount, cost, or complexity.
Multi-agent automation that scales execution — not headcount, cost, or complexity.
2,000+ workflows • 1,000+ integrations — plug in and go
2,000+ workflows • 1,000+ integrations — plug in and go
D-day
Deploy-day
We will launch agents every friday for your business
D-day
Deploy-day
We will launch agents every friday for your business
What Turing does
From “I need this done” to “it’s shipped,” automatically.
What Turing does
From “I need this done” to “it’s shipped,” automatically.
Describe the outcome
“When a deal hits Proposal, generate the contract, send for e-signature, update the CRM.”
Turing composes the flow
Agents, checks, integrations, retries, alerts — the whole playbook.
Run, measure, improve
One-click publish, versioning, audit logs, feedback loops.
Real-world examples
Real-world examples
Sales — Proposal to Signature
Before: reps copy/paste, chase signatures, forget CRM updates.
After with Turing: move stage → contract generated → e-signature sent → CRM updated → finance notified.
Impact: Cycle time ↓ 35%
Sales — Proposal to Signature
Before: reps copy/paste, chase signatures, forget CRM updates.
After with Turing: move stage → contract generated → e-signature sent → CRM updated → finance notified.
Impact: Cycle time ↓ 35%
Finance — Month-End Close
Before: spreadsheets, late nights, manual reconciliation.
After: agent reconciles banks, classifies expenses, publishes Power BI, alerts exceptions.
Impact: Close from +5 days → D+1
Finance — Month-End Close
Before: spreadsheets, late nights, manual reconciliation.
After: agent reconciles banks, classifies expenses, publishes Power BI, alerts exceptions.
Impact: Close from +5 days → D+1
Ops — Purchase to Delivery
Before: inbox chaos, stock surprises.
After: agent checks inventory, creates PO in ERP, opens logistics ticket, tracks SLA.
Impact: Stockouts ↓ 40%
Ops — Purchase to Delivery
Before: inbox chaos, stock surprises.
After: agent checks inventory, creates PO in ERP, opens logistics ticket, tracks SLA.
Impact: Stockouts ↓ 40%
Support — Triage to Resolution
Before: manual tagging, slow routing.
After: agent classifies tickets, pulls context from knowledge base, drafts replies, escalates by policy
Impact: First response time ↓ 50%
Support — Triage to Resolution
Before: manual tagging, slow routing.
After: agent classifies tickets, pulls context from knowledge base, drafts replies, escalates by policy
Impact: First response time ↓ 50%
Interoperability that actually works
Interoperability that actually works
Plug into your world — no drama, no migrations
Data
Connect where data lives via REST/JDBC. Keep governance intact.
Real-Time Insights
Access blockchain data in real-time to make timely and informed decisions.
Data
Connect where data lives via REST/JDBC. Keep governance intact.
Metadata
Lineage, attribution, tags — friendly with catalogs and MDM.
Metadata
Lineage, attribution, tags — friendly with catalogs and MDM.
Metadata
Lineage, attribution, tags — friendly with catalogs and MDM.
Semantics
A knowledge graph of flows, agents, actions, relationships.
Semantics
A knowledge graph of flows, agents, actions, relationships.
Semantics
A knowledge graph of flows, agents, actions, relationships.
Code & Logic
Python, Java, SparkSQL running on Spark/Flink. UI or API.
Code & Logic
Python, Java, SparkSQL running on Spark/Flink. UI or API.
Code & Logic
Python, Java, SparkSQL running on Spark/Flink. UI or API.
Analytics
Power BI®, Tableau, Jupyter, RStudio® — trigger analyses in real time.
Analytics
Power BI®, Tableau, Jupyter, RStudio® — trigger analyses in real time.
Analytics
Power BI®, Tableau, Jupyter, RStudio® — trigger analyses in real time.
LLM/SLM-agnostic
Bring your provider/models. Swap when you need.
LLM/SLM-agnostic
Bring your provider/models. Swap when you need.
LLM/SLM-agnostic
Bring your provider/models. Swap when you need.
Do more with what you already have
Do more with what you already have
Do more with what you already have
+90%
operational efficiency*
+90%
operational efficiency*
+90%
operational efficiency*
- 60%
cost per process
- 60%
cost per process
- 60%
cost per process
5× faster
task delivery
5× faster
task delivery
5× faster
task delivery
FAQ
FAQ
FAQ
Do I need to migrate data?
No — we connect where it lives via connectors and Virtual Tables.
Do I need to migrate data?
No — we connect where it lives via connectors and Virtual Tables.
Do I need to migrate data?
No — we connect where it lives via connectors and Virtual Tables.
What if something fails mid-flow?
What if something fails mid-flow?
What if something fails mid-flow?
Can I run in my VPC/on-prem?
Can I run in my VPC/on-prem?
Can I run in my VPC/on-prem?
How do I control access?
How do I control access?
How do I control access?
Can I use my preferred models?
Can I use my preferred models?
Can I use my preferred models?
Let humans be thinkers again
Turing does the repetitive work. Your team does the smart work.
Let humans be thinkers again
Turing does the repetitive work. Your team does the smart work.
Let humans be thinkers again
Turing does the repetitive work. Your team does the smart work.