Say goodbye to generic chatbots. GrahakAI powers autonomous support agents that drastically reduce support costs, delight your customers with instant resolutions, and seamlessly integrate into your business operations with guaranteed compliance.
We believe customer service AI must be reliable, secure, and respectful of your brand identity. Here is how GrahakAI protects your customer interactions.
Our agents follow your strict business rules. They never hallucinate, make up policies, or exceed your refund ceilings, maintaining consistent and accurate logic on every single turn.
Your customer data is strictly yours. GrahakAI utilizes physical and structural database-level boundaries to ensure complete customer privacy and security.
Common questions are answered instantly in under 20ms using our dual-stage caching system, reducing server loads and slicing your AI operations budget by up to 80%.
Safely connect your storefronts (like Shopify, Stripe, or Zendesk). Our visual key manager secures your credentials with bank-grade double-lock encryption.
Design roles tailored for your human support team. Set clear boundaries with intuitive permission grids and review detailed activity history with immutable audit trails.
Simply point your AI to your existing help documents, policies, or site FAQs. Our automated scrapers sync your content to keep your AI updated in real time.
See how enterprise customer support and ops executives scale their support safely with GrahakAI.
Everything you need to know about our FIPS-grade safety, Postgres isolation boundaries, and brand-safe reasoning engine.
GrahakAI utilizes strict business rules and guardrails, so the AI always operates within your exact constraints. Before any message reaches your customer, our dedicated audit layer verifies it against your store policies—ensuring zero hallucinations and total brand compliance.
Many multi-tenant platforms run tenant configurations directly on shared database connection pool nodes, which causes catastrophic leaks during concurrent sessions. GrahakAI implements the Safe Checkout Pattern: checking out a single, dedicated connection client, executing transaction scopes, setting Row-Level Security variables, committing/rolling back, and releasing the clean client connection safely.
When you connect storefront tokens, GrahakAI generates a randomized Data Encryption Key (DEK) to lock your secret. The DEK itself is then encrypted using our global platform Master Key (KEK) using independent Initialization Vectors (IV) and authentication tags. Plaintext secrets are never stored or logged, protecting them from data compromises.
Common queries are verified instantly in under 15ms by looking up a high-speed Redis semantic vector cache. If there is a highly confident match (score ≥ 0.95), GrahakAI returns the response immediately. If the score is high but borderline, an ultra-fast Gemini Flash confirmation runs, reducing API operational costs by up to 80%.
Interact with our multi-agent reasoning simulator. Experience how automated store policy checks and semantic speed caches deflect up to 85% of incoming ticket volumes, resolving customer queries in under 1.5 seconds for mere pennies.
GrahakAI is currently in a closed beta with selected enterprise partners. Join our private waitlist to secure your spot in our upcoming release cohort.