Boost.space
No-code Single Source of Truth Database for AI & Automations
4.9•60 reviews•3.3K followers
No-code Single Source of Truth Database for AI & Automations
4.9•60 reviews•3.3K followers
At Boost.space, we are engineering the Data Layer for the AI era. We go beyond simple integration by unifying fragmented business data into a Unified Grid—a dynamic Single Source of Truth.
While others just move data, we actively enrich and transform it, creating the deep context that AI Agents need to execute real work. Our mission is to orchestrate the entire data flow across the enterprise ecosystem, bridging the gap between static databases and action-oriented AI.
This is the 5th launch from Boost.space. View more
Boost.space v5
Launched this week
Most AI agents & complex automations fail because they’re operating in the dark. Boost.space provides the persistent context layer that turns siloed LLMs into an integrated business intelligence system. Give your automations & agents a "Shared Brain." so all workflows has the full context of your business—from past interactions to live database states—allowing workflows to compound instead of breaking.
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Launch Team / Built With
a SSOT with two-way sync plus enrichment becomes a conflict-resolution and provenance problem fast (loops, last-write-wins surprises, and agents acting on stale context across tenants). Best practice: anchor everything on an append-only change log with CDC-style connectors, explicit idempotency keys, and policy-as-code for tool access (OPA or OpenFGA) so every field has lineage and every action is auditable. Question: how do you
detect and resolve write conflicts across sources (per-field versioning vs LWW), and can agents query a time-travel snapshot of the Unified Grid for reproducible runs?
Boost.space
@ryan_thill very complex question, but to put it simply - each source/scenario has its priority and you can set that up on field level as well as field groups. With more details - make sure to hit our support up or checkout Docs. We got tons of articles and usefull resources over there 🔥
@matous_kralik Totally fair, source priority with field and field-group overrides is the right mental model. As volume grows, the key is pairing that with clear “who wrote this” provenance to avoid sync loops and make conflicts debuggable. If you connect with us, we can point you to the exact docs or help you map your setup to the right priority rules.
Hey Congrats for Boost.space ✨. Can you please tell me how it's work properly ?
Boost.space
@alexander_gray3 I think you can just watch the recording of yesterdays webinar: https://boostspace.wistia.com/medias/07qk54pkj8
Lancepilot
Boost.space
@priyankamandal completely. We got 14 days trial, feel free to jump in and play around a bit 🤞
This launch makes a lot of sense for where AI agents are headed.
Boost.space
@ragsyme glad to hear that and glad you see that 🤌
Lancepilot
Big launch! 👏 The agent collaboration angle is especially exciting for complex enterprise workflows.
Boost.space
@istiakahmad enterprise here we come! 🤞
Lancepilot
Boost.space
@odeth_negapatan1 took us a while but yeah - just the AI Mapping helps a ton 🤞
Luigi's Box
Congrats @matous_kralik and the team, well done 🚀
Boost.space
@matejkukucka Děkujeme, Matěji! 👌