Your competitors can buy the same AI. They can't buy yours.
Most AI for distributors connects to your ERP. InstaBrain™ learns your business.Which substitution this customer accepts, which price you can hold. InstaBrain™ learns it.
InstaBrain™ learns your business once. Everything after that starts smarter.
- 01
It learns your systems.
Not just the records, but the structure: what a customer, a part, an order, a quote actually mean inside your ERP and CRM, including the fields nobody documented.
- 02
It captures your judgment.
Pricing exceptions, substitution logic, approval thresholds, the way your top performers prioritize a territory. The tribal knowledge, made explicit and editable.
- 03
It carries both forward.
Every correction sticks. Every workflow inherits what the last one learned. Six months in, your InstaBrain™ knows your business in ways no off-the-shelf AI can.
Where it sits
- Control and auditInstaControl™Access, policy, and the full trace of every action.
- ExecutionInstaWorkers™The agents and workflows that do the work.
- Knowledge and memoryInstaBrain™What the business knows, kept current.
Every outcome the workers produce feeds back into the brain.
Deployed at $200M to $10B businesses.
$120M+Incremental revenue, annually
The sales motion runs across 760+ locations, on Snowflake, Salesforce and Power BI. Nothing ripped out. Read the story
- 250K+
Hours saved every year
2,500+ territory managers, each getting back the time that used to go into finding what the systems already knew. Read the story
90 to 45Days to ramp a new hire
Ramp halved and 35+ minutes saved per visit, with top-performer technique made teachable. Read the story
Most AI stops at the connector.
Integrating with your ERP is table stakes. Every vendor in this market does it, and it gets you a model that can read your records and nothing more. Useful knowledge sits five layers above that. InstaBrain™ builds all six.
Layer one gives you search. Layers four through six are why an InstaBrain™ answer sounds like it came from someone who has worked here for a decade.
Two ingest tiers, kept apart on purpose: org-wide sources are read in batch under a service account, while personal sources such as email, direct messages and private documents are only ever read at runtime under the user's own credentials. They are never batch-ingested.
- 01ConnectionScoped read
- 02StructureSchema-aware
- 03EnrichmentAgent-cleaned
- 04Institutional knowledgeSME-validated
- 05MemoryEpisodes · corrections
- 06Runtime contextProgressive disclosure
The brain you build belongs to you.
Most AI in this market is a subscription to somebody else's model, trained partly on the industry and shared across their customer base. You rent the intelligence, and the day you leave, everything it learned about you stays behind. InstaBrain™ inverts that. Single-tenant. No shared infrastructure, no cross-customer training, no data pooling. Your data trains your model, and you own both.
Renting intelligence
- ArchitectureVendor's model, multi-tenant
- Cost at scaleRises with every workflow you add
- LearningResets when the contract ends
- Your dataTrains someone else's product
Owning intelligence
- ArchitectureYour model, single-tenant
- Cost at scaleFalls as utilization grows
- LearningCompounds and stays with you
- Your dataTrains yours, and only yours
Every answer is graded against your own experts.
The reason most enterprise AI stalls after the first project is that nobody can prove it is still right six months later. InstaBrain™ is evaluated continuously against golden datasets built for your business and validated by your own subject-matter experts, the tenured people whose judgment you would trust over any model. Accuracy, latency and cost are tracked on every release, and nothing deploys if a metric moves the wrong way.
Improvements are tested before they reach you and reviewed by people before they stick. You get a system that gets better on purpose, not one that drifts.
- Accuracy
- Latency
- Token cost
- Human-review rate
- Ship
- Roll back
Nothing ships if a tracked metric regresses
graded against...
Golden datasets
Built per customer
Validated by your experts
Full trace
Every action and handoff
Request to outcome
Human review
People sign off before it sticks
The loop
- deploy
- trace
- grade
- gate
gate fails, the release rolls back and never reaches you
One brain. Every job it touches.
Prospecting
Next best action for every rep. Which account is slipping, what to sell alongside what they already buy. Less time searching, more time selling.
See InstaProspect →Quoting and order entry
Every request answered, including the awkward ones: exceptions, customer rules and margin calls, resolved before the quote is assembled.
See InstaQuote →Operations and data
Email triage, purchase orders, and the repeatable operational work that quietly eats the day. Agents clean and unify messy records as part of deployment.
Explore the platform →
What your brain does once it is built.
- Connects to the systems you already run, and replaces none of them
- Learns your data's structure, not just its contents
- Cleans and unifies messy records during deployment
- Captures pricing rules, substitution logic and approval paths
- Makes tribal knowledge explicit and editable
- Remembers every correction, decision and outcome
- Assembles the right context for each task at runtime
- Trains small models on your business, running in your environment
- Graded continuously against datasets your own experts validated
- Single-tenant, with on-premises and air-gapped deployment
- Fully traceable, under your own controls, through InstaControl™
- Powers every InstaWorker, and any agent you build yourself
The short answers.
1How is this different from ChatGPT or Copilot?
Those models know the world. They do not know your part numbers, your customers' substitution preferences, or why a specific account gets a specific price. InstaBrain™ does, because it is built from your systems and your team's judgment.
2Do we have to replace our ERP or CRM?
No. InstaBrain™ reads the systems you already run, including Prophet 21, Epicor, SAP, NetSuite, Salesforce and Snowflake, and works alongside them.
3How long until it is useful?
Workflows go live in about three days. A full deployment runs roughly three months. Data cleanup happens during deployment, not before it.
4Is our data used to train models for other customers?
Never. Single-tenant, no data pooling, no cross-customer training. Your data trains your model only.
5What if our data is a mess?
It is. Everyone's is. Cleaning it is part of layer three, and agents do that work as part of the deployment rather than as a prerequisite to it.
6What happens if we stop working with you?
You own the model and the knowledge inside it.
Behind this solution: Lily, the AI Forward Deployed Engineer, working on the platform Lily builds on, delivered through forward deployed engineering. InstaBrain™ is the knowledge underneath InstaProspect and InstaQuote, and it can run on the Small Data Center.