One platform for agentic AI operations.Built for real business work.

Safety is engineered into the architecture, not bolted on. Every agent runs an internal Plan → Act → Reflect loop that verifies its own work before any external action. An identity lock gates sensitive actions — monetary transfers, PII exchanges, regulated disclosures — at the platform level rather than via prompt instruction. And every turn, tool call, approval, and human intervention is written immutably to a Unified Action Ledger with full actor, intent, evidence, and outcome context.

Yes. Karmaflow treats the conversation as the unit of state, not the channel. An agent on a live call can text a wiring diagram, receive a photo of a damaged part, email a contract for e-sign, and confirm a tokenised payment link — all in one continuous session, all governed, all written to the same ledger.

You choose. Karmaflow runs on frontier reasoning models from Anthropic (Claude), OpenAI (GPT), Google (Gemini), Meta (Llama), and Mistral — selected per agent, with automatic failover and cost-aware routing handled natively. If you prefer to bring your own model — fine-tuned, sovereign, or hosted in your private cloud (Azure, Bedrock, Vertex, self-hosted vLLM/TGI) — plug it in. Agents inherit the same intelligence layer, discipline, guardrails, memory, and ledger regardless of the engine underneath.

Cross-Session Memory lets every agent recognize returning customers and thread context across sessions — across every channel and every prior interaction. A voice agent picks up where a chat agent left off. In-session memory is written live by analytical agents; post-session memory holds synthesis, preferences, and strategic recommendations. Memory is keyed to the customer, not stored as PII — identifiable details live in your source systems; Karmaflow references them by key. Privacy by architecture, not policy. Cross-session memory is opt-in and priced per engagement.

Through five pillars: a Unified Action Ledger that records every action immutably; Identity Lock for step-up verification on sensitive operations; AES-256 encryption with per-tenant data isolation; a compliance posture covering third-party-audited security controls (in progress), HIPAA, GDPR, PIPEDA, CASL, CAN-SPAM, and TCPA; and per-agent identity with named role, scoped credential, and authority configured per channel and workflow. Agents do not share credentials.

Prompt injection is treated as an adversarial input, not as instruction. Agents operate inside an Intelligence Layer that enforces brand integrity, scope, and safety above any conversational input — attempts to override persona, bypass policy, or trigger unauthorized actions get politely redirected, never obeyed. Sensitive actions sit behind platform-level identity locks that cannot be triggered by prompt content, only by the configured action class and threshold. Every attempt is written to the ledger.

Third-party security-controls audit is in progress with an external assessor. HIPAA support is available for healthcare tenants with BAAs, PHI handling rules, and audit-extension support. GDPR and PIPEDA subject-rights workflows are tenant-configurable. Channel compliance covers CASL, CAN-SPAM, and TCPA, with consent and quiet-hours enforced automatically per jurisdiction.

Yes. Standard deployment is multi-tenant cloud with Canada/USA residency included; EU, UK, and APAC region pinning is available on request. Hybrid deployments keep the control plane in cloud with the data plane on-premises. Sovereign and edge deployments — including air-gapped configurations for regulated finance, healthcare, legal, and government tenants — are scoped per requirement. Same agents, same governance, same ledger.

Yes — the Human Interface layer drives legacy applications the way a person would. Agents open the program, navigate menus, enter information, and read results back, operating under their own scoped identity with every click written to the ledger. This works for legacy ERPs, vendor portals, desktop-only clinical or financial tools, and internal apps that predate modern integration. No integration build, no IT project, no waiting on a vendor’s API.

Two things by design. First, the internal reasoning loop reflects on the proposed action and either retries with a corrected plan or escalates. Second, any action above a configured threshold — a refund over a set ceiling, a regulated disclosure, a brand-defining moment — triggers identity lock and routes to a named human actor for approval. Humans operate above the loop by default and step in by business design, not as fallback.

Days, not months. Domain experts configure agents through a job-description-style interface — role, voice, escalation rules, tools, access scopes — without writing code. Karmaflow compiles the system prompt, generates evaluation rubrics, and surfaces the right tools automatically. Every change is versioned, audited, and reversible from the agent ledger. Most teams ship their first production agent within a week.