Day one to day ten thousand. Startup or enterprise — if this sounds like your Tuesday, you're who we built this for.
swipe →
Watchers
Watchers sit on your queues, logs, and systems — observing, mapping the undocumented flows. After a week they know your patterns. After a month they catch what a new hire would miss. After a quarter, they run the work.
Watchers sit on your queues, event buses, and logs. No prompts, no triggers — they observe autonomously and build context your team never had time to write down.
Every company has processes only veterans understand. Watchers build a map of how work actually moves — not the org chart, the real flow. The institutional knowledge that lives in no SOP.
When a watcher has enough context, it graduates itself. The thing that was watching the reconciliation process becomes the reconciliation process.
Your overnight shift · illustrative scenario
Six specialists. One shared brain. Each agent runs its own job and memory — coordinating, handing off, learning from each other's runs. No management overhead. No one clocking out. This is what an overnight shift looks like.
The org wiki
Every agent in your fleet shares the same memory. What one learns, all know. No siloed context. No repeated work. The longer Clove runs, the more of the work it handles — because every run makes the whole system smarter.
Structured tables, unstructured docs, real-time streams — indexed into one semantic + relational store. Your ERP talks to your inbox, your inbox talks to your call transcripts.
What one agent learns, the whole fleet knows. No siloed context. No re-explaining the same edge case twice. Every run teaches every agent — the system gets sharper without you doing anything.
Vector, SQL, and graph in one query layer. Your CFO's data, your compliance team's data, your ops team's data — one brain across all of it. Petabyte-class.
Self-healing
APIs go down. Vendors rename fields. Rules change overnight. Your workflows keep running — because the system remembers how it runs your business and updates itself when the shape of the work changes.
API down. Database restart. OCR service stalled. Legal reviewer offline. The physical work — invoices, contracts, onboardings — picks up exactly where it stopped.
Every run feeds the agent's memory. A 12-step reconciliation becomes 4 next month — because the system learned your exceptions and shortcuts.
Vendor redesigns an invoice template. Tax authority rolls out a new form overnight. Legal switches NDAs to MSAs. The agent adapts to the new shape of the work — no code change, no retraining, no engineer on call.
Model Matrix
Every major frontier lab. Every top open-weight release. Each routed to what it's best at. Open models run on our managed cloud, or we install them on your infrastructure — same API either way.
Don't want to operate GPUs? Call any open-weight model through our managed inference — same API as frontier providers, usage-based billing. Autoscales. Patched. No GPU engineers required.
Regulated industry? Data can't leave? We provision the GPU infra, deploy the open weights, tune vLLM / TGI / SGLang for your workload, and keep them patched. Private inference endpoint that speaks the same API.
Hardest-task model. Native multi-agent coordination. First to pass implicit-need tests.
40% cheaper than Opus, same 1M context. Right default for most runs.
Sub-second first token. Route bulk extraction + output here.
Strong for tool-heavy work. GPT-5 mini for high-volume routing.
Ingest entire codebases or document sets. Flash variant for cheap extraction.
10M-token window unmatched. Native vision. Top MMLU among open-weight.
397B MoE · 10B active. Multilingual across 201 languages. 64GB MacBook capable.
Frontier-class reasoning at a fraction of the price. Beats GPT-5 on some benches.
Best open-weight for fixing real bugs in real repos. MIT license — any commercial use.
Leads open-weight on competitive math + code. Zero-royalty commercial.
Only major European open-weight provider. Modest hardware requirements.
Hybrid Mamba-2. 70% less memory. License-clean training data provenance.
30B MoE · 3B active. Designed for GPU-efficient inference on NVIDIA infra.
Runs on one H100. OpenAI-quality weights, your infrastructure.
Deploy
Plug into Anthropic's Claude API in five minutes and start running workflows. Or deploy CLOVE fully on-premise — your models, your data, your infrastructure. Same kernel. Same workflows. Same outcomes. Your choice.
Ship in an afternoon. Managed kernel, Claude routing, pay per task. For ops teams that want outcomes now.
2MB C++ binary in your VPC or data center. Your models, your data, your infrastructure — air-gapped. For regulated industries and anyone with a CISO.
CLOVE connects to every system your business runs on — ERP, CRM, EHR, data warehouses, ticketing, the internal tools only three people know how to use. 200+ integrations via MCP. Real credentials. Real permissions. Real audit trails.
Incumbents are maintaining live products while trying to unwind years of legacy process. Companies that build AI-native from the start move thousands of times faster — every workflow compounding, every decision feeding back. Clove is how you build that company.
The crew
Building the operating layer for AI that actually runs the business. Shipping from India. Hiring people who'd sooner build a kernel than a landing page.
Writes the kernel. Talks to Claude at 3 AM. Breaks the whole stack before lunch, fixes it before coffee.
Turns product vision into roadmap. Turns strangers into customers. Turns cold emails into term sheets.
Ships features by day, keeps the lights on by night. Writes code the CI can't argue with.
Builds the impossible, then makes it fast. Debugs in his head faster than most people can grep.
Early access
Join the waitlist and get early access before public launch.
