Agent platform
Nebula OS
Series B SaaS
CentONE AI.Powerful Experiences.Real Results.
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Step 1/3Live
What are you building?
Pick one or more areas so we route you to the right team.
Select at least one area to continue.
Generative AI✦
LLM Agents✦
Computer Vision✦
RAG Systems✦
Voice AI✦
Predictive Analytics✦
MLOps✦
Edge Inference✦
Multi-Agent Workflows✦
Generative AI✦
LLM Agents✦
Computer Vision✦
RAG Systems✦
Voice AI✦
Predictive Analytics✦
MLOps✦
Edge Inference✦
Multi-Agent Workflows✦
(01) — Manifesto
We don't build chatbots.
We build the systems that replace them.
Centcept builds enterprise AI that actually runs in production: workflow agents, RAG over private data, and automation that integrates with your stack — secure, measurable, and owned end to end.
Outcome-first
We start with workflows and KPIs, then design the system around latency, cost, and quality targets — not demos.
Discovery → roadmap → pilot → production → iteration.
Built to last
Reliability is the moat. Evals, observability, and feedback loops are part of the build — so the system improves with usage.
Evals · monitoring · guardrails · QA.
Enterprise-ready
Security and integration are non‑negotiable. We ship with access control, audit thinking, and clean interfaces into your existing tools.
Permissions · compliance posture · data boundaries.
(02) — Spec Studio
Dial the constraints.
Get the blueprint.
Slide the trade‑offs and generate a build spec you can hand to engineering: scope, system shape, reliability plan, and what we’d measure from day one.
Latency
Fast
Cost
Balanced
Quality
High-precision
Build Constraints
Generated blueprint
Fast · Balanced · High-precision
centcept.blueprint
system_shape: agent + routing
delivery: pilot → harden → scale
what_we_measure: accuracy, latency, cost/request, deflection, escalation rate
reliability: evals, tracing, rate limits, fallbacks, audit-friendly logs
stack:
- Private-data RAG
- Autonomy-first
- English-first UX
- Caching + routing
- Quality-first models
- Evals + observability
(03) — Trace Atlas
Watch the workflow,
not the pitch.
Pick a real-world scenario and see the execution trace: steps, timings, confidence gates, and what we log for auditability.
SLO target
p95 < 1.2s · cost < $0.03 · audit-ready
Instrumentation: traces · evals · fallbacks · rate limits
Trace: Support Agent
step 1/5
Step 1
Intent classify
Route to the right workflow.
42ms
93%
Step 2
Retrieve context
RAG over private KB.
210ms
88%
Step 3
Draft answer
Grounded response with citations.
520ms
82%
Step 4
Policy check
Safety + compliance filters.
65ms
96%
Step 5
Escalate if needed
Human-in-the-loop triggers.
90ms
78%
(04) — Philosophy
WetreatAIlikethesubstrateitis—notafeature,notachatbot,butthenewfabricofsoftware.Everysystemweshipismeasured,observableandourstodefend.
(05) — Capabilities
What we do,
end to end.
(06) — Selected Work
Things we've shipped.
→
Generative product
Aria
Consumer AI
Predictive AI
Pulse Analytics
Fortune 500
Voice agents
Echo
Voice startup
(07) — Technical Surface
Engineering capabilities, deep.
+
RAG over private data
Hybrid retrieval, reranking, citation-grade outputs.
+
Agent orchestration
Planners, tool-use, long-running memory.
+
Evals & observability
Continuous evaluation pipelines you can trust.
+
Inference at scale
Latency-aware routing, autoscaling, cost control.
+
Voice & multimodal
Realtime voice agents, vision, multimodal search.
+
Fine-tuning & distillation
Smaller, faster, cheaper task-specific models.
(08) — Process
From spark to system.
01
Discover
We map workflows, data, and ambition. No fluff.
02
Design
Prototypes that prove the bet before we build.
03
Build
Ship reliable systems with measurement baked in.
04
Scale
Iterate weekly. Outperform the baseline. Compound.
(09) — Voices
From the teams who shipped.
"Centcept replaced six months of internal R&D with a working agent platform in eight weeks."
— CTO, Series B Fintech
"The eval harness alone was worth the engagement. We finally trust what we ship."
— VP Engineering, Healthtech
"They asked the questions our board should have. Pragmatic, senior, fast."
— Founder, Consumer AI
"Centcept replaced six months of internal R&D with a working agent platform in eight weeks."
— CTO, Series B Fintech
"The eval harness alone was worth the engagement. We finally trust what we ship."
— VP Engineering, Healthtech
"They asked the questions our board should have. Pragmatic, senior, fast."
— Founder, Consumer AI
(10) — In Motion
Snapshots from the studio.
0+
Products shipped
0M
Inferences / mo
0%
Eval pass rate
0x
Avg ROI
(11) — FAQ
Common
questions.
Trusted by teams from
NebulaAriaPulseEchoAtlasPrismForgeLumen