One request. The right agent. Full context.
Hive turns isolated AI tools into a coordinated workforce. Specialized agents share customer context, hand work off, and bring in a person when confidence is low. Built in 12 weeks on infrastructure you control.
Best fitB2B companies with 3+ AI touchpoints managing 50+ daily interactions.
One-time · 12 weeks
12-month minimum
Successful event
Source, data & deployment
Your customer should only explain it once.
Hive keeps one customer state alive as work moves between specialized agents. The next agent sees what happened, why it matters, and what it owns now.
“Tell me your company, team size, and what you need.”
“Can you repeat your account details and the issue?”
“Please forward the original request and any screenshots.”
Why am I explaining this again?
Lloyd and Scout follow one customer request through Hive: specialized agents around shared customer context, handoffs that carry ownership, a person for uncertain cases, visible work, and a staged rollout.
This is an animated film. The customer scenario is illustrative.
One shared intelligence layer.
Hive agents keep their specialties. The difference is that they read from the same customer state, transfer the full thread, and coordinate through a shared orchestration layer.
Sales
Qualification, account context, routing.
Support
Issue history, answers, escalation.
Operations
Workflow actions, tool coordination.
Success
Health signals, follow-up, retention.
Agents draw from one current customer state.
History and rationale travel with ownership.
Validated patterns can improve the wider system.
Low-confidence cases arrive with context intact.
Hive assembles the team.
The initial build includes 2-4 specialized agents. These examples show how the same shared-context system can be configured for different operating environments.
Insurance agent team
Coordinate visual assessment, pricing, policy matching, and a clear customer reply without dropping the original context.
Logistics agent team
Keep shipment, carrier, insurance, and customer-service context connected across every delivery question.
Warehouse agent team
Connect inventory questions to actual stock, locations, reorder logic, and the people who own exceptions.
HR agent team
Carry employee context through policy questions, onboarding tasks, document routing, and sensitive escalations.
Human control is part of the system.
Autonomy needs brakes, traces, and a clear owner. Hive is designed around staged deployment and visible handoffs, not an invisible black box.
Measurement starts in week one. Pixelmojo establishes a baseline and compares outcomes weekly. Your team decides whether the system is performing.
Full handoff logs
See the conversation, rationale, owner, and outcome.
LoggedStaged rollouts
Sandbox, limited cohort, then wider deployment.
StagedKill switch & rollback
Stop an agent or revert a workflow path.
InstantConfidence escalation
Bring in a person below the agreed threshold.
HumanConflict detection
Flag contradictory agent actions for reconciliation.
Weekly12 weeks. Four controlled releases.
Start with the workflow and risk. Build 2-4 specialized agents. Release in stages. Finish with the source, documentation, infrastructure access, and a trained team.
Discover
- Workflow analysis
- Architecture plan
- Integration requirements
- Week-one baseline
Build
- 2-4 agents
- Shared memory layer
- CRM and tool integrations
- Weekly demos
Deploy
- Staged production rollout
- Performance tuning
- Guardrail verification
- Team training
Optimize
- Baseline comparison
- Workflow iterations
- Performance reporting
- Documentation and handoff
Application source · custom agent interfaces · workflow logic · integrations · deployment access · database · technical documentation · team training
Own the application. Keep the intelligence maintained.
Hive is neither a pure software purchase nor a conventional seat-based SaaS. You own the custom application around your business. Pixelmojo continues to operate the proprietary intelligence layer.
You own
Forever · client-controlled- Application source codeCustom agent UIs and routes
- Workflow logicYour operating rules
- IntegrationsCRM and connected tools
- Customer databaseRecords and logs in your environment
- Deployment infrastructureYour account and access
- DocumentationTechnical and operating handoff
Pixelmojo operates
Included in platform fee- Hive Intelligence PlatformProprietary layer
- Orchestration engineAgent coordination
- Shared-memory layerContext processing
- Trained modelsOngoing optimization
- LLM calls and embeddingsUsage infrastructure
- Security and supportUpdates and priority support
The application keeps running on infrastructure you control. Ongoing Hive intelligence depends on the paid platform layer; the first 12 months are mandatory. Customer records and logs remain in your environment, while relevant context is processed by the intelligence service.
One build. One platform. Usage tied to work.
No hidden “contact us” price. The fixed scope starts with 2-4 agents and includes Vector. Resolution billing needs an agreed event definition before launch.
Discovery, architecture, 2-4 specialized agents, shared memory, integrations, staged deployment, optimization, documentation, source-code handoff, and team training.
Platform, LLM usage, infrastructure, model optimization, security updates, and priority support.
Per successful resolution.
Annual prepay: $30,600/year, or $2,550/month effective.
Build + 12 monthly platform payments, before successful-resolution charges.
Annual prepay lowers the fixed total to $95,600.
Compare against SaaS, agency, and open-source buildsNo fog.
The six things an operator should understand before committing to a Hive build.
01How is Hive different from several chatbots?
Separate chatbots answer within isolated sessions. Hive is designed so specialized agents read a shared customer state, coordinate task ownership, and hand work off with the conversation and rationale intact.
02When should we choose Vector instead?
Choose Vector for one lead-qualification use case. Choose Hive when work must coordinate across multiple agents or touchpoints. If you do not yet have 3+ touchpoints or 50+ daily interactions, Pixelmojo recommends starting smaller.
03What exactly do we own?
You own the application source, agent interfaces, workflow logic, integrations, database, customer data, deployment infrastructure, and documentation. Pixelmojo operates the proprietary orchestration, shared memory, models, scoring, and LLM infrastructure included in the platform fee.
04What does the 12-week build include?
Weeks 1–2 cover workflow discovery and architecture. Weeks 3–6 build 2–4 agents, memory, and integrations. Weeks 7–8 deploy in stages and train your team. Weeks 9–12 compare performance, iterate, document, and hand off.
05How is sensitive data handled?
The application and customer database run in infrastructure you control. Relevant conversation context is processed by Pixelmojo’s intelligence service. Before signing, request written specifics for retention, subprocessors, residency, access controls, audit logs, and incident response.
06What happens if performance is weak?
The plan is to establish a baseline in week one, review outcomes weekly, and conduct a mutual 90-day review. Guardrails include staged rollouts, monitoring, handoff logs, kill switches, rollback controls, and confidence-based human escalation.
Map the first handoff.
Bring the workflow where context gets lost today. Pixelmojo will tell you whether Hive is the right-sized answer.