PRODUCT
Accurate AI for decision making
PromptQL powers some of the boldest AI initiatives at global enterprises and AI-native powerhouses. If you're ready to push the boundaries of what's possible with AI, we’re here to partner with you.
PromptQL capabilities
Q&A
Get instant answers with full business context
EXAMPLE
What's the backlog looking like in Assembly Cell 3?
Why is this hard
"Backlog" could mean queued work orders, unstarted jobs, delayed tasks past SLA, or parts waiting on upstream processes
"Assembly Cell 3" might map to a line in MES, a cost center in ERP, or just a nickname used on the floor
The answer depends on how your systems define work states and what's actually meaningful to your operations team
How PromptQL solves this
Automatically captures and understands your business context
Maps informal language to actual system definitions
Delivers answers that are relevant to your specific operations
Interrogation
Drill down through complex questions with unlimited context
EXAMPLE
Why did facility operating costs spike at Distribution Center 4 last quarter — and was it due to overtime, maintenance, or energy usage?
Why is this hard
This is just the starting point - you'll want to drill into cost categories, compare against historical norms, analyze by shift, equipment type, weather events, or vendor logs
You may need to backtrack, apply new thresholds, or pivot from labor costs to asset downtime
Traditional AI quickly hits context window limitations with this much data exploration
How PromptQL solves this
Decouples plan generation from execution to handle complex, multi-step analysis
Preserves your entire analysis trail as you explore different angles
Makes complex interactions reliable and repeatable
Deep Research
Multi-hypothesis research across internal and external sources
EXAMPLE
How is our churn rate trending compared to similar B2B SaaS companies, and what factors are driving the differences?
Why is this hard
This isn't just one question — it's a research mission requiring multiple data sources and hypotheses
You need to benchmark against public data, explore internal patterns, and segment by customer cohort
Must test multiple theories: onboarding friction, support responsiveness, product usage, pricing misalignment, etc.
How PromptQL solves this
Generates comprehensive research plans with data discovery phases
Systematically works through multiple hypotheses
Seamlessly combines internal data with open web research
Cross-Source Intelligence
Connect insights across all your heterogeneous data sources
EXAMPLE
Which high-value accounts are trending toward churn, and is it due to product adoption issues, unresolved support tickets, or negative sentiment in recent calls?
Why is this hard
Requires joining structured data (CRM, usage logs), semi-structured systems (tickets, surveys), and unstructured content (call transcripts, notes)
Must traverse explicit relationships and uncover implicit connections on the fly
Data needs fetching and transformation before any AI analysis can begin
How PromptQL solves this
Planning language handles complex data relationships and transformations
Automatically discovers and exploits implicit connections between data sources
True signal emerges only when disparate sources are analyzed together
Smart Visualizations
Generate shareable, contextual reports and dashboards on-demand
EXAMPLE
Can you show me how employee attrition and engagement scores are trending across departments, and whether remote teams are more at risk?
Why is this hard
Pulls from HRIS data, pulse surveys, exit interviews, and team structure information
Need to correlate metrics, spot patterns, and present insights clearly
Different data types require different visualization approaches
How PromptQL solves this
Generates context-appropriate visualizations suited to your specific data and analysis
Creates shareable reports ready for HR leadership or executive presentations
Automatically selects the best visual format for maximum insight impact
The Solution
For your org, ACME, PromptQL helps you build AcmeQL, a language that an LLM can use to plan, reason and act with the level of reliability you can expect from an analyst or engineer on staff.
PromptQL is an AI platform that continuously adapts LLMs to your domain by capturing and encoding the proprietary know-how into a planning language the LLM can understand and generate.
The planning language incorporates terminology, processes and a semantic graph of data and tools.
Importantly, this generated language can be compiled into precise machine executable code that can run deterministically and hence handle arbitrarily large amounts of data and complex plans without LLM context limitations.
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