{"schemaVersion":"ready-scan.discovery-surface.v1","id":"urn:readyscan:corpus:evidence:xenara-technology-inc-q139819025","key":"evidence:xenara-technology-inc-q139819025","kind":"evidence","slug":"xenara-technology-inc-q139819025","canonicalUrl":"https://directory.readyscan.ai/corpus/evidence/xenara-technology-inc-q139819025","machineUrl":"https://directory.readyscan.ai/discovery/corpus/evidence/xenara-technology-inc-q139819025.json","datePublished":"2026-07-29","dateModified":"2026-10-28","materialFingerprint":"fnv1a64:a5c6b3a88e25140d","membershipFingerprint":"fnv1a64:5487337783ff92b5","relatedEntitySlugs":["xenara-technology-inc-q139819025"],"relatedSurfaceKeys":["buyer_question:xenara-technology-inc-q139819025-answer-1b669e40b689b42b4917","buyer_question:xenara-technology-inc-q139819025-answer-22cb1fa803c3948b9b83","buyer_question:xenara-technology-inc-q139819025-answer-32440838f8e9d4ca88d8","buyer_question:xenara-technology-inc-q139819025-answer-36692e129270181a410f","buyer_question:xenara-technology-inc-q139819025-answer-5347b5c788c60e423ab9","buyer_question:xenara-technology-inc-q139819025-answer-5d39004db29ea0f63301","buyer_question:xenara-technology-inc-q139819025-answer-7f10ed1ecd4cd0be6d33","buyer_question:xenara-technology-inc-q139819025-answer-7f9cb0a51d17272c92cb","buyer_question:xenara-technology-inc-q139819025-answer-8d99cb8a3e77e08c5407","buyer_question:xenara-technology-inc-q139819025-answer-8ec87e34f9f0fab693c0","buyer_question:xenara-technology-inc-q139819025-answer-a86ace62041b2eaeda9c","buyer_question:xenara-technology-inc-q139819025-answer-b2bfde017e7893c128ff","buyer_question:xenara-technology-inc-q139819025-answer-ca6d5dd4bedca6f2d32b","buyer_question:xenara-technology-inc-q139819025-answer-cc9faba2eaaded176028","buyer_question:xenara-technology-inc-q139819025-answer-e40832aa97e798ef3a5e","buyer_question:xenara-technology-inc-q139819025-answer-ea77dc80402c34f370ea","buyer_question:xenara-technology-inc-q139819025-answer-fc79c160c67546be8d4d"],"sourceIds":["ready-scan-subjects"],"provenance":[{"snapshotId":"xenara-technology-inc-q139819025-content-daa47bc6cf69fad4-snapshot","sourceId":"ready-scan-subjects","sourceRecordId":"Q139819025","sourceRevisionId":"Q139819025:content:61303d8c0df4070a","sourceContentHash":"fnv1a64:d248769c4f0d7c8d","recordRevisionId":"Q139819025:content:61303d8c0df4070a","recordContentHash":"fnv1a64:3c32a657ea8fbeb7","sourceCanonicalUrl":"https://www.xenara.ai/","sourceModifiedAt":"2026-10-28T00:53:47.735Z","observedOn":"2026-10-28","permission":{"basis":"public_information","evidenceUrl":"https://www.xenara.ai/"},"attributionUrl":"https://www.xenara.ai/"}],"quality":{"method":"same_kind_unique_trigram_floor","minimumUniqueTrigramRatio":0.3,"status":"passed"},"title":"Xenara Technology Inc. — company guide","summary":"Xenara — Software & AI Development: “Xenara is a Canadian software and AI company building field service platforms, AI receptionists, hospital management systems, and multi-store POS.”","facts":[{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-59918090d5aeb7bf9179","label":"Xenara — Software & AI Development","value":"“Xenara is a Canadian software and AI company building field service platforms, AI receptionists, hospital management systems, and multi-store POS.”","sourceUrls":["https://www.xenara.ai/"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-5347b5c788c60e423ab9","label":"What kind of projects does Xenara take on?","value":"“Custom software, AI platforms, mobile apps, hospital management systems, POS / retail systems, automation, and internal tools. We focus on healthcare, retail, and enterprise operations. Project sizes range from 2-week discovery sprints to multi-month platform builds and ongoing engineering retainers.”","sourceUrls":["https://www.xenara.ai/faq"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-8d99cb8a3e77e08c5407","label":"Where is Xenara based?","value":"“Xenara is a Canadian corporation (Xenara Inc.) headquartered in Mississauga, Ontario. We're remote-first by design — our team works with clients across Canada, the United States, Pakistan, India, the UAE, Saudi Arabia, the United Kingdom, and other markets on a remote basis.”","sourceUrls":["https://www.xenara.ai/faq"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-ea77dc80402c34f370ea","label":"Do you work with clients in Pakistan and South Asia?","value":"“Yes — we work remote-first with businesses across Pakistan, India, the UAE, and the broader region. We communicate in English and Urdu where useful, support engagements priced in PKR / INR / AED / USD, and design around regional realities (JazzCash / Easypaisa / UPI integration, local print conventions, connectivity profiles).”","sourceUrls":["https://www.xenara.ai/faq"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-1b669e40b689b42b4917","label":"Do you handle App Store and Play Store submission?","value":"“Yes — store assets, screenshots, privacy declarations, and store submission are part of every mobile engagement. We typically clear store review in 1–2 review cycles.”","sourceUrls":["https://www.xenara.ai/faq"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-cc9faba2eaaded176028","label":"Which models do you use?","value":"“We pick per use case. Claude (Anthropic) and GPT-4-class models for general work, Llama 3 / Mistral for on-prem or cost-sensitive deployments, and embedding models specific to the domain. We're not loyal to any vendor.”","sourceUrls":["https://www.xenara.ai/services/ai-development"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-5d39004db29ea0f63301","label":"Can we run AI on our own infrastructure?","value":"“Yes — we deploy open-source models (Llama, Mistral, Qwen) on customer-controlled GPUs when data residency, cost, or compliance demands it. Common in healthcare and finance engagements.”","sourceUrls":["https://www.xenara.ai/services/ai-development"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-22cb1fa803c3948b9b83","label":"How do you handle hallucinations?","value":"“Three layers: retrieval gives the model grounded context, structured outputs constrain what it can return, and evals + monitoring catch drift over time. Critical fields never come from the model alone — they're validated against source data.”","sourceUrls":["https://www.xenara.ai/services/ai-development"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-a86ace62041b2eaeda9c","label":"What about data privacy and HIPAA / PIPEDA?","value":"“We design for compliance from day one. Common patterns: PII redaction before the LLM call, on-prem or zero-data-retention API agreements, audit logging of every prompt and response, and consent-aware data flows.”","sourceUrls":["https://www.xenara.ai/services/ai-development"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-ca6d5dd4bedca6f2d32b","label":"Will AI replace our engineers?","value":"“Not the kind of AI we build. Production AI augments humans — surfacing context, drafting responses, automating routine decisions — while leaving the high-stakes calls (and the accountability) with people.”","sourceUrls":["https://www.xenara.ai/services/ai-development"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-7f9cb0a51d17272c92cb","label":"How is this different from Goodcall, Synthflow, or RingCentral AI receptionist?","value":"“Those are SaaS products with generic configurability. We build custom — your intake script trained on your real calls, your dispatch rules, your specific CRM integration. The result handles trade-specific edge cases (compressor age, drain line cleanouts, panel upgrades) that generic AI gets wrong.”","sourceUrls":["https://www.xenara.ai/services/ai-receptionist"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-fc79c160c67546be8d4d","label":"Does this integrate with ServiceTitan / Jobber / Housecall Pro?","value":"“Yes. We integrate with ServiceTitan via API, Jobber via API + Zapier, Housecall Pro via API, FieldEdge via custom connector. Bookings flow directly into your existing scheduler. If you're on a custom CRM, we wire that in too.”","sourceUrls":["https://www.xenara.ai/services/ai-receptionist"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-b2bfde017e7893c128ff","label":"What's the actual ROI?","value":"“Typical math: an HVAC operator missing 6 emergency calls per week × 50 weeks × average $700 captured job value = ~$210,000 in recoverable revenue per year. Even at 30% capture rate that's $63k. Against a $300–$800/mo run-rate, the payback is usually under 6 weeks.”","sourceUrls":["https://www.xenara.ai/services/ai-receptionist"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-32440838f8e9d4ca88d8","label":"How long until it's live?","value":"“4–6 weeks from kick-off to production for the standard build. Most clients run a 2-week pilot on after-hours calls first, then expand to 24/7 once quality is verified.”","sourceUrls":["https://www.xenara.ai/services/ai-receptionist"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-36692e129270181a410f","label":"What's the difference between custom automation and Zapier?","value":"“Zapier is great for connecting two SaaS tools when the flow is simple. Custom automation is the right answer when the workflow has branching, approvals, audit logging, or business logic that doesn't fit Zapier's model. Many of our customers run both — Zapier for the easy 80%, Xenara automation for the operational 20% that needs more.”","sourceUrls":["https://www.xenara.ai/services/automation-workflows"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-7f10ed1ecd4cd0be6d33","label":"Do you replace existing tools or work with them?","value":"“Almost always we work with what's there. We integrate with your CRM, accounting, HRIS, and SaaS — the automation orchestrates them. Replacement is only the right answer when the existing tool is the bottleneck itself.”","sourceUrls":["https://www.xenara.ai/services/automation-workflows"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-8ec87e34f9f0fab693c0","label":"What about RPA (UiPath, Automation Anywhere)?","value":"“RPA is for cases where the system you're automating has no API. We use it when we have to — most of the time, building a proper API integration is cheaper and more reliable in the long run.”","sourceUrls":["https://www.xenara.ai/services/automation-workflows"]},{"id":"content-native-digital-agencies-e58b202ba2c63ac3-a-e40832aa97e798ef3a5e","label":"How do you measure ROI?","value":"“Time saved per week × hourly cost of the team running the workflow. Most automation engagements pay for themselves within 6–12 months and continue compounding from there.”","sourceUrls":["https://www.xenara.ai/services/automation-workflows"]}]}