Upload your documents. Ask questions in plain English. Get cited, grounded answers from your own content — with confidence scoring, refusal enforcement, full audit trail, and multi-tenant isolation.
"Squirro returns document lists. RAGGR™ returns cited answers. Same connectors. 1/10th the cost. Built by someone who used Squirro at International Bank."
RAGGR™ Competitive Position · March 2026Every GCC and bank in India sits on thousands of documents. Employees spend 30–40% of their time searching for information that already exists inside the organisation. Generic AI makes it worse — not better.
Answers from internet knowledge, not your documents. No source control. No access control.
Grounded in documents — but 6–12 months to build production-ready. No governance layer.
The governance layer built for compliance-first organisations. Deploy in 4 weeks, not 12 months.
Six governance layers built directly into the engine — not bolted on as afterthought plugins.
Users only see documents they're authorised to access. Role-based filtering happens before vector search — not after.
No document goes live unreviewed. Four-stage approval: draft → review → approve → publish. Full status tracking.
Every query logged permanently — user, document pool, model used, answer, confidence score, timestamp. Exportable for regulators.
Aadhaar, PAN, Passport, IFSC, UPI, Voter ID flagged at ingestion and pre-delivery. Microsoft Presidio engine with India-specific recognisers.
Every answer must cite its source page. Answers without citations are rejected by the guardrail layer before delivery.
One engine, many organisations. Complete pool isolation. Per-tenant API keys, model overrides, and usage dashboards.
GoldenEval V3: 130 questions across MCQ, fill-blank, keyword, and open-ended formats. Run on the GenAI with LangChain corpus. KaaryaaKairo routes by query type — not by preference.
| Metric | GPT-4o | Llama 3.3 70B |
|---|---|---|
| Citation Rate | 82% | 96% |
| Faithfulness | 94% | 96% |
| Avg Latency | 3.8s | 1.2s |
| Cost / Query | ~₹0.57 | ₹0.00 (free) |
| OOS Refusal | 100% | 100% |
| Hallucinations | 0% | 0% |
Llama 3.3 70B via Groq outperforms GPT-4o on citation rate, faithfulness, latency, and cost — for structured queries. GPT-4o reserved for compliance and complex open-ended.
Run Benchmark →From shared SaaS for proof-of-concept to air-gapped on-premise for GCC compliance requirements.
GCC pilot targeting June 2026. Chennai banking network. Demo available now — no login, no setup.