Most AI is one frozen model with no memory. HireBuddha pairs a multi-model Intelligence Engine with a 4-tier memory architecture and a Learning System — so your workforce reasons cheaply, remembers everything, and compounds intelligence over time.
Every reasoning step is scored on complexity, modality, latency, and cost, then routed to the cheapest model that will succeed. Frontier-grade quality only where it counts — which is why real bills land far below a flat “always-premium” price.
BabyBuddha — our flagship hybrid LLM, post-trained for agentic execution — is the default brain. Any AI Employee can also call Claude Opus, ChatGPT, Gemini, GLM, Qwen, or Mistral. Tenants can pin a model or restrict the fleet for data-residency; failover is automatic; every choice is logged.
Today’s scratchpad — inputs, loop metrics, step calculations for the current task. Your desk, cluttered with today’s work.
The last 10 interactions per contact and agent. Conversational continuity: “We spoke about X last Tuesday.”
Vector search over your uploaded documents. RAG-powered retrieval — your filing cabinet, searchable by meaning.
Hierarchical cognitive context for long-running work. Auto-checkpoints at 8,000 tokens; viewport slicing keeps it within limits. The reason Week 12 is smarter than Week 1.
Every AI Employee runs an 8-stage control loop that audits its own decisions before and after execution.
Most AI is stateless — it forgets and never improves. HireBuddha does the opposite: every run leaves the system smarter.
Follows instructions
Basic execution. Accurate, but generic. It does exactly what you configured — no more, no less.
Recognizes patterns
Episodic memory captures patterns. It recognizes returning contacts and seasonal trends without being told.
Anticipates
CORTEX builds deep domain context. Agents pre-draft, flag anomalies, and prepare work before you ask.
Self-optimizes
The Self-Optimizing Intelligence Engine rewrites agent charters from cross-process KPIs. Measurable improvement, no human intervention.
Your competitors are still onboarding hires. You’re running a self-optimizing machine. The gap doesn’t close — it widens.
When a tool is missing, the Meta Agent writes it. When an integration breaks or a workflow gets expensive, the platform diagnoses and rewrites its own code — sandboxed, test-gated, versioned, rollback-safe.
The interface is assembled per user, per task, per data shape. Novices get guided simplicity; power users get density. Most people just run everything through Pragya, who materializes exactly the controls they need.
Your data model starts minimal and grows as you work — a logistics tenant grows shipment entities, a clinic grows patient entities — automatically, with no migration project.
Start with $5 in free daily credits. Watch Week 12 beat Week 1 — with no human intervention.