New

The first

AI for intelligent capacity management

AI-driven allocations that automate capacity decisions across complex environments.
gospace AI forecasts demand, simulates outcomes, and dynamically allocates capacity — all via API.

We don’t replace platforms.
We power them with an autonomous decision-making layer.

Our customers span the globe

Our Capabilities

Power Smarter Workplaces, Automatically

gospace AI plugs into existing platforms and runs capacity autonomously.

Where traditional systems stop at visibility or manual rules, gospace makes decisions:

  • who should be allocated

  • where collaboration opportunities live

  • how space should adapt as demand changes

This turns static workplaces into adaptive systems — without redesigning your product or workflow.

Workplace API: Forecasting

Anticipate demand before it happens

Hybrid environments break when capacity decisions are reactive.

gospace models attendance and usage probabilities at the individual, team, and site level using historical patterns, live signals, and organisational metadata.

Forecasts are returned as structured API outputs:

  • Users with high probability are auto-allocated

  • Medium-high attendees are nudged by the AI for confirmation

  • Admins see projected occupancy, team presence, and capacity thresholds in real time

This enables:

  • proactive consolidation

  • accurate daily zoning

  • confident decisions about expansion or closure

Forecasting isn’t a dashboard — it’s the input layer for automated action.

Automated allocations

Forecast demand

Workplace API: Allocations

From chaos to complete control

gospace is not a booking system.
It is an allocation engine.

Using real-time forecasts, organisational hierarchies, adjacency requirements, and spatial constraints, gospace allocates desks and zones daily or weekly — without human intervention.

Employees don’t need to book.
Platforms simply surface where they should sit.

Capabilities include:

  • allocating capacity per team or user

  • solving for collaboration, focus, or accessibility needs

  • adapting instantly to spikes, growth, or last-minute changes via live occupancy data

This is the only allocation engine that evolves continuously, handling day-to-day complexity automatically instead of relying on static rules or admin oversight.

Resulting in:

  • Real-time allocations

  • Increase productivity

  • Consolidate space

Real-time Allocations

Increase Productivity

Consolidate Space

Your engineering space is as follows…

Your space is in Zone A, see who you're with:

Book

We recommend sitting here…

  • Desk 24a

    Sit near team (Sales)

  • Zone A - Floor 1

    High collaboration chance

  • Zone B - Floor 2

    Optimal amenities for user

Workplace API: Allocations (Recommended / Guided)

Power smarter booking

For organisations that require user-led bookings, gospace operates as an intelligent recommendation layer.

Instead of forcing automation, we guide decisions in real time:

  • recommend which zones users should book from to stay near their team

  • suggest specific desks based on collaborators, amenities, and past behaviour

  • continuously learn to improve density, proximity, and relevance

This allows platforms to introduce intelligence without disrupting UX, while still improving collaboration and space efficiency.

Increase Productivity

Consolidate Space

Talk to your workplace

Your agentic AI-powered interface

Ari is the control surface for the gospace capacity engine.

Admins express intent in natural language — Ari translates it into forecasts, simulations, and implemented allocations.

Examples:

  • “Add 10 people to Marketing and update headcount forecasts.”

  • “Shut down Floor 3 next week and rerun allocations.”

  • “Tell me when London will need more space.”

  • “Increase Engineering capacity by 40% with quiet zones.”

Ari replaces spreadsheets, manual planning, and brittle rules — enabling fast, confident capacity decisions without specialised expertise.

I'm Ari. What can I help with?

Weather you want help in customer handling or make changes in your system just give me command

|

Add document

Analyze

Generate Allocations

I'm Ari. What can I help with?

Weather you want help in customer handling or make changes in your system just give me command

|

Add document

Analyze

Generate Allocations

How it works

From upload to allocation—watch your workplace run itself

gospace ingests your data, understands your constraints, and begins allocating intelligently within days.

No spreadsheets.
No firefighting.
Just an autonomous system that adapts continuously.

Step 1

Upload your data

Send floorplans, booking data, directories, and occupancy signals via API.
gospace structures and normalises the data for real-time forecasting and allocation.

  • class DataIngestionPipeline:
    def __init__(self):
    self.sources = ["floorplans", "booking_data", "directory", "occupancy_data"]
    self.status = "awaiting_upload"

    def upload(self, source, payload):
    if source in self.sources:
    self.status = f"{source} received"
    return f"{source} successfully ingested"
    return "Unsupported data type"

    def initialise_forecasting_engine(self):
    if self.status != "awaiting_upload":
    return "Real-time forecasting and allocation pipeline activated"
    return "No data uploaded. Please send input via API"

  • class DataIngestionPipeline:
    def __init__(self):
    self.sources = ["floorplans", "booking_data", "directory", "occupancy_data"]
    self.status = "awaiting_upload"

    def upload(self, source, payload):
    if source in self.sources:
    self.status = f"{source} received"
    return f"{source} successfully ingested"
    return "Unsupported data type"

    def initialise_forecasting_engine(self):
    if self.status != "awaiting_upload":
    return "Real-time forecasting and allocation pipeline activated"
    return "No data uploaded. Please send input via API"

Step 2

Define requirements

Set constraints and intent using labels, hierarchies, and adjacency rules — all through Ari.

Examples:

  • Ensure QA sits with Engineering

  • Keep Sales in Zone A

  • Allocate mobility-access desks for specific users

You define what matters.
gospace solves how it fits.

Team Adjacency

Ensure QA is sat with Engineering

Sales in Zone A

Ensure Sales is allocated in Zone A

Space Requirement

User A needs mobility access

Step 3

Start evolving

gospace continuously recalculates forecasts and allocations as inputs change. Meaning Ari:

  • minimises disruption

  • preserves adjacencies

  • adapts to daily fluctuations

  • solves capacity in real time

The system improves every day without manual intervention.

Analyzing current workplace..

Minimises disruption

Achieves adjacencies

Handle daily demands

Forecasts demand

Solves in real-time

Step 4

Implement into your app

Surface allocations, forecasts, or recommendations directly inside your platform. Users see:

  • where to sit

  • who they’ll sit near

  • why the decision was made

gospace stays invisible — the intelligence lives inside your product.

Our solution

Your stack

Case Studies

How enterprises use gospace AI to automate, save, and scale

gospace turns fragmented environments into adaptive systems.

Our AI continuously reallocates capacity, preserves collaboration, and optimises utilisation — reducing waste while improving how teams connect.

JLL

Cut solution allocation time from weeks to minutes across 100M sq ft

JLL’s global occupancy planning consultancy adopted an early version of gospace AI to automate complex block and stack plans for large enterprise clients. Traditionally a multi-week process involving teams manually analysing data, gospace AI delivered optimized floor plans in minutes — at scale. Over three years, the platform helped redesign space across nearly 100 million square feet of global real estate.

Impact :

Cut solution time from weeks to minutes, enabling faster decision cycles

Delivered 25% more space savings than other AI/ML alternatives

Scaled to 30+ enterprise customers with over 100M sq ft analysed

Enabled consultants to focus on strategy, not manual modelling

Cut solution allocation time from weeks to minutes across 100M sq ft

JLL’s global occupancy planning consultancy adopted an early version of gospace AI to automate complex block and stack plans for large enterprise clients. Traditionally a multi-week process involving teams manually analysing data, gospace AI delivered optimized floor plans in minutes — at scale. Over three years, the platform helped redesign space across nearly 100 million square feet of global real estate.

Impact :

Cut solution time from weeks to minutes, enabling faster decision cycles

Delivered 25% more space savings than other AI/ML alternatives

Scaled to 30+ enterprise customers with over 100M sq ft analysed

Enabled consultants to focus on strategy, not manual modelling

Cut solution allocation time from weeks to minutes across 100M sq ft

JLL’s global occupancy planning consultancy adopted an early version of gospace AI to automate complex block and stack plans for large enterprise clients. Traditionally a multi-week process involving teams manually analysing data, gospace AI delivered optimized floor plans in minutes — at scale. Over three years, the platform helped redesign space across nearly 100 million square feet of global real estate.

Impact :

Cut solution time from weeks to minutes, enabling faster decision cycles

Delivered 25% more space savings than other AI/ML alternatives

Scaled to 30+ enterprise customers with over 100M sq ft analysed

Enabled consultants to focus on strategy, not manual modelling

Benefits

The AI powered workplace is here

Smarter than seat maps. Faster than planners. gospace solves real-world allocations—in real time, dynamically, and without human input—so you save space, increase productivity, and future-proof your workplace

Allocations, solved daily

No more static plans or seat ratios. We reallocate space each day based on attendance, adjacencies, and team needs, so the workplace works in real-time

Enterprise-grade forecasting

Our attendance predictions aren’t just accurate—they’re actionable. Forecasts drive bookings, allocations, and occupancy decisions automatically.

Bookless by design

Forecasts and allocations are handled upstream. gospace automates desk and zone assignments so users don’t need to book at all—unless you want them to

Space savings, baked in

As headcounts shift, gospace automatically consolidates space, removes waste, and preserves team proximity—all with minimal disruption

Configurable adjacencies at every level

Set relationships between teams, users, zones, rooms, or labels (like "quiet", "collab", or "pods")—we handle the spatial logic and deliver optimised plans.

Simulation engine included

Test “what if” scenarios—like floor closures, policy changes, or headcount shifts—using our admin LLM. No models, no analysts, just answers.

FAQs

You’ve Got Questions

Explore how gospace handles the complexity behind space allocation, planning, and forecasting—so you don’t have to

What’s the difference between gospace and a typical booking or planning tool?

How does the API integrate with my platform?

What if my company still wants people to book their own desks?

What data do I need to get started?

Can I simulate changes before rolling them out?

Let AI automate your real-estate

Book a call today and add an invisible brain to your booking tool

gospace AI

The AI that allocates, adapts, and evolves with your workplace

© All right reserved

gospace AI

The AI that allocates, adapts, and evolves with your workplace

© All right reserved