Cut your AI token budget 80%. Or get 500% more out of the same spend.
They are the same result read two ways. bRRAIn puts a governed memory layer in front of your models, so they stop paying to re-read what they already knew yesterday. Roughly 85% of the work disappears — take it as a smaller bill, or as five times the output from the budget you already approved.
Modeled from published results for context memory, semantic caching, prompt caching and model routing. Your workload will differ — the calculator below runs your own numbers.
Three reasons your AI bill grows faster than your output.
Your AI forgets.
Every session starts from zero, so you pay to re-send the same context again and again. Most of a mature AI budget is spent re-reading what the system already knew yesterday.
You buy the same answer twice.
A fifth to a half of real production traffic is repeat or near-repeat questions. Without a memory layer every one of them is a fresh, fully-priced inference.
More spend buys less each time.
Scaling by buying capacity is linear at best, and a licensed accelerator is as fast the day you rack it as it will ever be. Your capex depreciates; a context layer appreciates as it learns your corpus.
Five layers. Each one is spend you stop paying and output you start getting.
bRRAIn does not negotiate your rate card — it removes the work before your provider ever meters it. Five independent techniques, each a published result, and their savings multiply rather than add. Every row below is both a cost saving and an output gain, because they are the same thing counted from opposite ends: work you no longer buy is capacity you did not have before.
The mechanics behind each layer are documented in how it works and the architecture overview.
The compounded row above is one measurement, not two claims: 155 GPU-hours per million requests becoming 23 is an 85% cut in work, which is the same thing as 6.7× the throughput. Both published figures are rounded down from it. The mechanics behind each layer are documented in how it works and the architecture overview.
What your team costs to run, with and without the memory layer.
Pick the kind of work your people do and the model you run it on. The volumes are per-seat monthly averages and the rates are published list prices — both are assumptions, both are stated, and both are yours to argue with.
bRRAIn does not replace your model. It sits underneath whichever one you run — commercial API, open weights, or both — so this is the same model doing the same work on a fraction of the tokens. Send us a week of real traffic logs and we will replace these estimates with measured numbers.
—
The assumptions, in the open. Per-seat monthly token volumes are bRRAIn estimates for each kind of work, shown above as you change the selector. Model rates are blended input/output list prices as published in September 2026 — check your own contract, since committed-spend and enterprise agreements routinely beat list. Inference cost only: excludes bRRAIn licence fees, and for self-hosted excludes power and hardware amortisation beyond the rate shown. The saving and the output multiple are two readings of one modeled reduction in work, not two independent claims.
Install the memory first. Everything you connect after it gets cheaper.
Most AI programmes start by choosing a model, then spend a year discovering that the model is not the problem — the forgetting is. Turn that order around. Stand up the memory layer first, point your existing models and systems at it, and every one of them starts drawing on the same governed context from day one. You are not replacing anything you already bought.
Install bRRAIn
One command, on your own hardware or ours. You get the vault, the workspaces, the role hierarchy and the policy engine — the governed place your institutional knowledge is going to live.
Day 1Bring your own model
Point the models you already pay for at it — commercial APIs, open weights you host, or both, routed per request. No migration, no re-contracting, and no model lock-in: the memory layer sits underneath whatever you run.
Day 1Connect your systems
Data Pipe brings your sources into governed memory without moving them; the MCP Gateway lets agents act on your tools without handing over the keys. Your systems of record stay exactly where they are.
Week 1The saving starts, and grows
The cut begins the moment context stops being re-sent, and deepens as the cache learns your corpus — roughly 20% of traffic served from memory at launch, about double that by month twelve.
Day 1 → month 12Why this order matters. A model chosen first is a model you will re-choose. Context built first is an asset that makes every model you run afterwards — including the one that replaces today's — cheaper and better on the day you switch to it. See the quick start.
The whole stack, self-hostable, under one governance model.
Everyone else assembling sovereign AI stitches together a vector store, an orchestrator, an LLMOps tool, a gateway, a policy engine and a sandbox — then owns the integration forever. bRRAIn ships them as one system with a single role hierarchy and a single audit trail.
On top of the platform, a marketplace of ready applications — data pipelines, agent orchestration, LLMOps, document portals, parsing, fleet and robotics control, compliance, and branded AI interfaces you can ship to your own customers. The zone-by-zone detail lives in the architecture overview.
Two ways in: your data, and your tools.
Nothing has to move and nothing has to be rewritten. Data Pipe brings your sources into governed memory without migrating them; the MCP Gateway lets agents act on your tools without handing them the keys.
Data Pipe
Connect any source, leave the data where it lives, and let weighted graph indexing pull exactly what each AI session needs — backed by a self-growing hot cache.
- No migration and no copy of record — your system of truth stays where it is
- Weighted graph indexing, so retrieval is scored by relevance rather than keyword luck
- A hot cache that grows itself as usage reveals what actually gets asked for
- Every ingest inherits the Vault's encryption, provenance and role rules
feeds: Vault · POPE Graph RAG · Consolidator
MCP Gateway
One governed connection to every tool and data source your agents need to reach, with per-tool permissions checked against the same policy engine that governs everything else.
- Standard MCP servers, so anything that speaks the protocol plugs in
- Per-tool permissions mapped to the seven-tier role hierarchy
- Every call policy-checked, including export and residency rules
- One audit trail covering tool calls and memory writes together
enforced by: Security Policy Engine · Control Plane
Automate the work, then generate the evidence.
In a regulated institution, an automation you cannot evidence is a liability. The Orchestrator runs the workflow inside the Vault; Robo Compliance audits what it did and packages the proof.
Agent Orchestrator
Visual canvas for chaining agents, conditions, webhooks and schedules — sovereignty-preserving, vault-native.
- Build multi-step agent workflows without writing orchestration code
- Vault-native: every step reads and writes governed memory, not a side store
- Conditions, webhooks and schedules, so workflows react to your systems
- Runs inside your perimeter — including fully air-gapped deployments
writes to: Vault · Code Sandbox · MCP Gateway
Robo Compliance
Map your own controls and evidence to SOC 2, HIPAA, GDPR, ISO 27001, the EU AI Act and more — then hand your auditor sealed, signed audit sessions.
- Continuous audit across zones, roles, workloads and placements
- Evidence packages generated from the live system, not assembled by hand
- Covers the AI itself — model choice, routing, retrieval and placement decisions
- Export-aware: proves which nodes a workload was allowed to touch, and did
reads: audit trail · policy versions · placement log
Framework coverage reflects the evidence templates Robo Compliance generates. It does not constitute certification — your auditor still signs. Our own posture is documented on the security page.
Embed AI memory into any application.
Build extensions that run beside your organization's brain and read, write and search its vault through the bRRAIn Platform SDK for Go. Your application logic stays where it is.
// private repo: access comes with a developer seat require github.com/Qosil/bRRAIn/pkg/platform-sdk v0.0.0-00010101000000-000000000000 replace github.com/Qosil/bRRAIn/pkg/platform-sdk => ../bRRAIn/pkg/platform-sdk
import platformsdk "github.com/Qosil/bRRAIn/pkg/platform-sdk" c, err := platformsdk.New(platformsdk.Options{ BaseURL: os.Getenv("BRRAIN_INTERNAL_URL"), Token: os.Getenv("BRRAIN_INTERNAL_TOKEN"), })
res, err := c.Vault().Search(ctx, platformsdk.VaultSearchRequest{
Query: "follow-up appointments",
Limit: 10,
})
for _, h := range res.Hits {
fmt.Println(h.Path, h.Score)
}
Developer seats are not platform users. Five engineers can build against the SDK free, forever, with no card. Platform pricing covers the people who use what they ship.
It complements your stack rather than replacing it
| Capability | Your database | bRRAIn SDK | Together |
|---|---|---|---|
| Structured queries | Yes | Limited | Yes |
| Semantic search | No | Yes | Yes |
| Graph traversal | No | Yes | Yes |
| Full-text search | Limited | Yes | Yes |
| Zero-trust envelopes | No | Yes | Yes |
| Provenance & audit | Manual | Built-in | Built-in |
Intelligent retrieval
Queries are enriched with graph context automatically. No hand-crafted JOINs, no full-text kludges — the graph does the thinking.
Zero-trust by default
Every request authenticated, authorized and logged in a hash-chained audit trail. Choose where it runs — up to your own infrastructure.
Choose exactly how far inside your borders the system sits.
The same product and the same features at four levels of isolation. Start hosted and move to your own racks without re-platforming.
Hosted Standard
We run it. Fastest path to production, full platform, shared infrastructure.
Co-located
Dedicated hardware in a facility you choose, managed under your contract.
Data-Resident
All storage and inference inside your country, with residency provable in the audit log.
Sovereign On-Prem
Your racks, your keys, your staff. Air-gap capable — it runs with no outbound connection at all.
Open weights only
Every model we deploy is open-weight and licence-clean for commercial use. No vendor can revoke your ability to run it.
Export-aware scheduling
Policy decides which nodes a customer's workloads may touch — including during failover — and logs every placement decision.
Portable by design
The architecture moves between hardware generations, vendors and countries. Your investment is in context, not in a chip you may lose access to.
The fully isolated engagement model is described on the Black Box page.
Free for one. $99 for five. $35 for everyone after that.
The platform is priced per user, published in full, with no minimum and no seat you have to buy in advance. Hosting is quoted separately, against the configuration you actually choose. Building on the SDK is free for five developer seats and is counted separately from platform users.
Free
- The full eight-zone platform
- Vault, workspaces, control plane
- MCP gateway and policy engine
- Marketplace applications
- Bring your own model endpoints
Team
- Everything in Free
- Shared workspaces and roles
- Team memory and consolidation
- Audit trail across the team
- No per-seat charge under 5
Per user beyond 5
- Everything in Team
- Linear, published, no tiers to negotiate
- Full seven-tier role hierarchy
- Export-aware workload placement
- OEM and white-label terms available
Hosting is quoted to your configuration
There is no managed-install fee and no standard hosting bundle, because no two sovereign deployments look alike. What you pay depends on the choices you make, and we quote against them directly.
- Deployment tier — hosted, co-located, data-resident or on-prem
- Country and facility, and any residency obligation
- GPU class and node count
- Air-gap and physical security requirements
- Redundancy and failover region
- Local-language model training, if you need it
See the full pricing page, including certification, add-ons and OEM terms.
bRRAIn is a platform other people build on.
Marketplace
Ready applications for data, agents, documents, robotics and compliance — installable into your deployment, with a 25/75 revenue split for submitters.
Compute network
GPU capacity across regional hubs, with export-aware node selection so every workload lands on hardware it is legally allowed to use.
Certified partners
Implementation firms trained and certified on bRRAIn, delivering in-market with local staff and local accountability.
Frequently asked questions.
How is bRRAIn different from a traditional knowledge base?
Traditional knowledge bases store static documents. bRRAIn provides persistent AI memory — your AI retains full institutional context across every session, learns from historical engagements, and compounds knowledge over time. It's the difference between a filing cabinet and a colleague who remembers everything.
Does bRRAIn help with SOC 2, HIPAA, and GDPR?
Yes — by giving you the controls and the evidence. bRRAIn is built on a zero-trust, eight-zone architecture with role-based and per-project permissions, a hash-chained audit log, and a local model by default (commercial models are opt-in). Robo Compliance helps you map your own controls and evidence to frameworks such as SOC 2, HIPAA, GDPR, PCI DSS, CMMC 2.0 Level 2 and the NIST AI RMF, and hand your auditor sealed, signed audit sessions. bRRAIn does not itself hold a SOC 2 report or other third-party attestation; your certification is issued by your auditor.
Can I self-host bRRAIn?
Absolutely. bRRAIn offers cloud-hosted, self-hosted, and hybrid deployment options. Self-hosted deployments run on your infrastructure with full data sovereignty. We provide Kubernetes manifests, Docker images, and comprehensive deployment documentation.
How does pricing work?
Per user, published in full, with no minimum and no seat you have to buy in advance. One user is free permanently — the whole platform, not a trial. Five users are a flat $99 a month. Every user after the fifth is $35 a month. The Certification Bundle is separate, at $2,999 per firm per year covering up to 3 candidates across any discipline. Hosting is quoted to your configuration; there is no managed-install fee. Building on the SDK is free for five developer seats, counted separately from platform users.
What integrations does bRRAIn support?
bRRAIn integrates with Salesforce, HubSpot, Workday, QuickBooks, Slack, Microsoft Teams, Jira, ServiceNow, and more. Our REST API and webhook system support custom integrations. We also offer Zapier connectivity and an integration partner program.
How long does setup take?
Most teams are up and running in under 2 minutes with our cloud-hosted option. Self-hosted deployments typically take 1-2 hours with our guided setup. Enterprise deployments with SSO, custom integrations, and data migration are scoped during the architecture review.
Where do you want to begin?
Four ways in, depending on whether you are evaluating, buying, building or partnering.
Start free
One user, the full platform, no card. See the memory layer work on your own material.
Model your own costs
Use the calculator, then ask us to validate it against your real traffic.
Run a 60-day proof of concept
One workload, your data, measured against your current baseline.
Become a regional partner
Distribution, joint ventures and compute investment in your market.
Performance figures on this page are modeled estimates drawn from published research on context memory, semantic caching, model routing and prefix caching; they are not audited benchmarks. Export-control statements reflect guidance as understood in September 2026 and are not legal advice.