promptql.com

Name: promptql.com
Brand: promptql.com

PromptQL is a collaborative AI workspace that provides a persistent, correctable context layer and a governed execution model to produce cited answers and actions grounded in connected enterprise data sources.

Website

MarketsAI Assistant NL & Conversational Analytics

01Competitive Landscape

| Aspect | PromptQL | Glean | Dust | |--------|----------|-------|------| | Starting Price | Published per-unit pricing for a starter plan with promotional credits; enterprise pricing available via sales contact (Official vendor pricing page) | Not publicly listed on main site in sources reviewed (sales-led) (Vendor pricing & sales pages) | API pricing documented with per-model token costs; end-user plan pricing not captured here (API pricing documentation) | | Best For | Teams needing shared, teachable context + governed execution across enterprise data (Vendor product and feature pages) | Large orgs seeking enterprise search + assistants/agents with many connectors and adoption programs (Vendor product overview) | Teams building customizable agents with model flexibility; more “agent platform” oriented (Developer docs & product pages) | | Key Strength | BYOC + scope-based governance; “AI runs as a real person” permission model; deep audit logs (Vendor security & product pages) | Connector breadth; enterprise rollout narrative; explicit enterprise certifications listed on site (Vendor compliance & product pages) | Model catalog transparency and token-level pricing for API usage (API pricing and docs) | | Key Weakness | Limited third-party review presence; some reliability complaints reported in community forums; pricing predictability for OLUs varies (Third-party review sites and community threads) | Pricing opacity; some user discussions claim it can return links rather than synthesized multi-hop answers (needs POC validation) (Community discussion threads) | Enterprise governance/compliance posture not assessed from sources retrieved; may require deeper security review for regulated buyers (Vendor docs and public information) | Narrative analysis - PromptQL vs Glean - Overlap - Both emphasize permission-aware, enterprise-grade AI over company knowledge and systems. - Differentiation (based on accessible sources) - PromptQL leans heavily into a “shared wiki/context that compounds via corrections” and into a BYOC split-plane architecture (Vendor product pages). - Glean emphasizes enterprise search roots, many connectors, and adoption/ROI narratives (including strong on-site metrics). Note: many ROI claims in this category are typically marketing-derived or from sponsored studies, so treat as directional and validate via POC. (Vendor product pages and marketing materials) - PromptQL vs Notion - Notion is a broad collaboration suite with AI embedded into docs/databases; pricing is per-member (Free/Plus/Business/etc.). (Vendor pricing pages) - For teams that primarily need “AI inside an existing doc/task system,” Notion can be simpler. - For teams requiring BYOC-style separation, virtual query enforcement, and deep auditability for actions, PromptQL appears more purpose-built (vendor claims). (Vendor security & product pages) - Market share and adoption trends - PromptQL - Public third-party review volume is currently very low, suggesting either early stage, limited review capture, or a product not commonly reviewed on major platforms yet. (Third-party review sites) - Glean - Presents itself as widely adopted among large enterprises with many public customer references; independent validation varies and should be checked. (Vendor customer pages and public references)

01Competitive Landscape

Aspect	PromptQL	Glean	Dust
Starting Price	Published per-unit pricing for a starter plan with promotional credits; enterprise pricing available via sales contact (Official vendor pricing page)	Not publicly listed on main site in sources reviewed (sales-led) (Vendor pricing & sales pages)	API pricing documented with per-model token costs; end-user plan pricing not captured here (API pricing documentation)
Best For	Teams needing shared, teachable context + governed execution across enterprise data (Vendor product and feature pages)	Large orgs seeking enterprise search + assistants/agents with many connectors and adoption programs (Vendor product overview)	Teams building customizable agents with model flexibility; more “agent platform” oriented (Developer docs & product pages)
Key Strength	BYOC + scope-based governance; “AI runs as a real person” permission model; deep audit logs (Vendor security & product pages)	Connector breadth; enterprise rollout narrative; explicit enterprise certifications listed on site (Vendor compliance & product pages)	Model catalog transparency and token-level pricing for API usage (API pricing and docs)
Key Weakness	Limited third-party review presence; some reliability complaints reported in community forums; pricing predictability for OLUs varies (Third-party review sites and community threads)	Pricing opacity; some user discussions claim it can return links rather than synthesized multi-hop answers (needs POC validation) (Community discussion threads)	Enterprise governance/compliance posture not assessed from sources retrieved; may require deeper security review for regulated buyers (Vendor docs and public information)

Narrative analysis

PromptQL vs Glean
- Overlap
  - Both emphasize permission-aware, enterprise-grade AI over company knowledge and systems.
- Differentiation (based on accessible sources)
  - PromptQL leans heavily into a “shared wiki/context that compounds via corrections” and into a BYOC split-plane architecture (Vendor product pages).
  - Glean emphasizes enterprise search roots, many connectors, and adoption/ROI narratives (including strong on-site metrics). Note: many ROI claims in this category are typically marketing-derived or from sponsored studies, so treat as directional and validate via POC. (Vendor product pages and marketing materials)
PromptQL vs Notion
- Notion is a broad collaboration suite with AI embedded into docs/databases; pricing is per-member (Free/Plus/Business/etc.). (Vendor pricing pages)
- For teams that primarily need “AI inside an existing doc/task system,” Notion can be simpler.
- For teams requiring BYOC-style separation, virtual query enforcement, and deep auditability for actions, PromptQL appears more purpose-built (vendor claims). (Vendor security & product pages)
Market share and adoption trends
- PromptQL
  - Public third-party review volume is currently very low, suggesting either early stage, limited review capture, or a product not commonly reviewed on major platforms yet. (Third-party review sites)
- Glean
  - Presents itself as widely adopted among large enterprises with many public customer references; independent validation varies and should be checked. (Vendor customer pages and public references)

Aspect

PromptQL

Glean

Dust

Starting Price

Published per-unit pricing for a starter plan with promotional credits; enterprise pricing available via sales contact (Official vendor pricing page)

Not publicly listed on main site in sources reviewed (sales-led) (Vendor pricing & sales pages)

API pricing documented with per-model token costs; end-user plan pricing not captured here (API pricing documentation)

Best For

Teams needing shared, teachable context + governed execution across enterprise data (Vendor product and feature pages)

Large orgs seeking enterprise search + assistants/agents with many connectors and adoption programs (Vendor product overview)

Teams building customizable agents with model flexibility; more “agent platform” oriented (Developer docs & product pages)

Key Strength

BYOC + scope-based governance; “AI runs as a real person” permission model; deep audit logs (Vendor security & product pages)

Connector breadth; enterprise rollout narrative; explicit enterprise certifications listed on site (Vendor compliance & product pages)

Model catalog transparency and token-level pricing for API usage (API pricing and docs)

Key Weakness

Limited third-party review presence; some reliability complaints reported in community forums; pricing predictability for OLUs varies (Third-party review sites and community threads)

Pricing opacity; some user discussions claim it can return links rather than synthesized multi-hop answers (needs POC validation) (Community discussion threads)

Enterprise governance/compliance posture not assessed from sources retrieved; may require deeper security review for regulated buyers (Vendor docs and public information)