Scaling Products.
Automating Operations.
Accelerating Growth.
We partner with ambitious businesses to build scalable digital products, modernize technology platforms, and implement practical AI solutions that drive measurable business outcomes.
Name the job.
Cruise picks the model.
Write bb/extraction once. On every request Cruise allocates the cheapest member that still passes that request’s hard gates — at that hour’s price. New models, new prices and quiet retirements are absorbed in the catalogue, so the id in your code never changes again.
Lanes, not labs
Allocation is by price against each request’s gates — members are never ranked.- bb/extractionPull structured fields out of documentsjson-schematools
- deepseek/deepseek-v4-flashDeepSeek
- mistral/mistral-small-latestMistral
- workers-ai/llama-3.3-70bCloudflare
- bb/support-replyDraft a reply in the customer’s threadtools
- anthropic/claude-haiku-4.5Anthropic
- google/gemini-flashGoogle
- mistral/mistral-small-latestMistral
- bb/screenshot-readRead a screenshot or a scanned invoicevision-required
- google/gemini-flashGoogle
- openai/gpt-4o-miniOpenAI
- bb/contract-reviewReason over a long document in one passlong-contextjson-schema
- anthropic/claude-opus-5Anthropic
- deepseek/deepseek-v4DeepSeek
One lane. Three labs. Your code names neither. A lane is a model id that names a job — you write the job, Cruise writes the routing. A member that fails a gate is not in the lane for that request at all.
Running in production today for BytesBrains’ own projects. Not yet self-serve — access is arranged with us. Dial and ledger figures on this panel are illustrative.
Apps & platforms we have built
Our product lineup is coming soon. Stay tuned.
End-to-end technology services for modern businesses
AI & Agentic Automation
Agents that do the work rather than suggest it — with the spend limits, approval gates and audit trail that make handing the work over defensible to whoever asks.
- Agents that carry a task end to end
- Answers grounded in your own documents
- Model routing, per-team budgets and caching
- Human approval where the cost is real
- Rollout beside your people, not instead of them
Product Engineering
From an empty repository to a product with paying customers, including the parts nobody puts in a demo: sign-in, billing, permissions, and the admin screens your team runs the business from.
- New products, and the first version that ships
- Subscriptions, invoices and payment providers
- Roles, permissions and an audit trail
- Admin panels your staff can actually operate
- Web and mobile applications
Scale & Modernization
For the product that works today and will not at ten times the traffic — and for the system nobody wants to touch because the person who wrote it has left.
- Finding what is slow, and what it costs
- Cloud architecture that fits the bill you want
- Legacy rescue and re-platforming
- Deploys that can be undone
- Monitoring that names the failure, not the symptom
Integrations & APIs
The plumbing between systems never designed to meet — and an API your customers’ own software can call, because increasingly the customer is an agent rather than someone at a keyboard.
- APIs designed to be read by a machine
- Errors an integrator can branch on, not prose
- Connecting the tools you already pay for
- Data pipelines and the reporting on top
- Webhooks, queues and retries that hold
Security Hardening
A vetted specialist secures your network and devices — closing the exposures a scan can only find.
- Home & Premises Network Reviews
- Camera & Recorder Lockdown
- NAS Hardening & Backups
- IoT Segmentation
- Router, Wi-Fi & Firmware
- Remediate & Re-verify
Technology Advisory
The technical counterpart who will tell you when the answer is no — before the build, the raise, or the acquisition, rather than in the post-mortem afterwards.
- Fractional CTO
- Architecture and code review
- Whether an AI plan is real, and what it will cost
- Technical due diligence, either side of the table
- Build, buy or wait
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