AI orchestration
for real business work
SenePrime is the shared AI layer behind SeneTek products. It gives applications one governed way to route model requests, manage cost, ground answers in trusted records, and support practical workflows.
Unified SenePrime AI workspace
Built as a platform layer
SenePrime gives every product the same disciplined way to use AI, instead of hard-wiring each workflow to a single model provider.
Multi-Model Routing
Route tasks across Claude, GPT, Gemini, DeepSeek, and future providers through a consistent control layer.
Cost and Usage Controls
Track model usage, compare cost, and choose the right model for the job instead of defaulting to the most expensive option.
Retrieval-Grounded Answers
Use structured records and knowledge retrieval so outputs can stay connected to trusted source material.
Developer Workflows
Power AI-assisted engineering through API and CLI surfaces with streaming, model choice, and permission boundaries.
Governance by Design
Separate internal, client, synthetic, and pilot data while keeping human review in the loop for external outputs.
Vertical Product Foundation
Support delivery intelligence, operations, agent coordination, and financial automation from the same AI platform.
Platform first, vertical products next
SenePrime is the foundation. Delivery Intelligence, SeneOps, Nexus, and LedgerOps are the product surfaces that turn the platform into operational value.
Delivery Intelligence
Project health, RAID, decisions, vendor accountability, SDLC governance, executive reporting, and financial exposure.
SeneOps
System health, documentation, changelog, CI status, topology, structured logs, and portfolio visibility.
SeneForce Nexus
Task orchestration, credential management, event logging, and local/cloud AI routing patterns for engineering agents.
LedgerOps
QuickBooks and Stripe automation with audit-first controls, confidence scoring, and human-review boundaries.
Need governed AI inside your workflow?
SeneTek can help you evaluate the right AI architecture, build the operating layer, and connect it to business workflows that need discipline and traceability.
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