Your support queue resolves itself.
Resolvix is the AI command center for B2B SaaS support teams. It reads your knowledge base, understands every incoming ticket, and automatically resolves 70%+ — sending only the hard cases to your team.
Free 30-day trial · No credit card required · Setup in 15 minutes
TKT-4821 · How do I export my data?
Trusted by fast-growing B2B SaaS teams
Your support team is burning $847,000 a year answering the same 40 questions.
Analysis of 50M+ support tickets shows that 67% are identical to questions already answered in your docs or a previous ticket. Human agents are copy-pasting answers, and your customers are still waiting 8+ hours.
"I need to export all our contact records before next week's compliance audit. Is there a CSV export option, or do I need API access?"
"I've tried resetting my password three times now but the reset email never arrives. Can someone manually unlock my account?"
"We're deciding between Growth and Enterprise. Besides price, what actually changes — seats, support, SSO?"
"I want to add two more teammates to our workspace this week. Where do I do that, and does it change our billing?"
"This month's invoice is $80 higher than usual and I can't see why. Could someone check it against our plan?"
"Is there any documentation on setting up webhooks for ticket status changes? Couldn't find it in the help center."
Hover or drag across the chart to see exact daily numbers.
An AI agent that reads, reasons, and responds — autonomously.
Resolvix deploys a production-grade AI agent trained on your exact knowledge base. It uses Retrieval-Augmented Generation (RAG) to find the most relevant answer, then uses Claude 3.5 Sonnet to compose a precise, citation-backed reply — in under 2 seconds.
"I need to export all our contact records before next week's compliance audit. Is there a CSV export option, or do I need API access?"
"I've tried resetting my password three times now but the reset email never arrives. Can someone manually unlock my account?"
"We're deciding between Growth and Enterprise. Besides price, what actually changes — seats, support, SSO?"
"I want to add two more teammates to our workspace this week. Where do I do that, and does it change our billing?"
"This month's invoice is $80 higher than usual and I can't see why. Could someone check it against our plan?"
"Is there any documentation on setting up webhooks for ticket status changes? Couldn't find it in the help center."
Knowledge Indexer
Resolvix crawls your docs, past tickets, and uploaded PDFs. NVIDIA NIM converts every paragraph into a dense vector embedding — a mathematical fingerprint that captures semantic meaning, not just keywords.
+Chunks indexed from one mid-size help center — docs, changelog, and 14 months of resolved tickets, re-embedded automatically every night.
Semantic Router
When a ticket arrives, the same NVIDIA NIM model embeds the customer's question. A GPU-accelerated vector search finds the top-5 most semantically similar docs — even if the phrasing is completely different. Keyword search misses 60% of these.
+Zero shared keywords, 0.91 cosine similarity. Keyword search would've missed this match entirely.
Confidence-Gated Generator
Claude 3.5 Sonnet (via AWS Bedrock) generates a response grounded in the retrieved docs. Our confidence scorer evaluates answer completeness, source quality, and semantic alignment. Only scores ≥95% are auto-sent. Lower scores draft for human review.
+Same ticket scored 71% last month before a doc update — it would have gone to a human instead of guessing.
Not "AI-powered" — AI-native.
Every component of Resolvix was built ground-up for AI-native operation. No legacy code with AI bolted on.
- Your knowledge base articles and help docs
- Historical resolved tickets (learns from success)
- Product changelog and release notes
- Customer account context (plan, usage, history)
- Response quality confidence score (0–100%)
- Escalation probability and recommended agent
- Answer text, grounded in cited source documents
- Knowledge gaps — questions no doc covers yet
- Claude 3.5 Sonnet (AWS Bedrock) — response generation
- NVIDIA NIM text-embedding-3-large — semantic encoding
- pgvector ANN search — sub-3ms retrieval at scale
- Custom confidence classifier — trained on 2M labeled tickets
- CPU embedding: 890ms — too slow for real-time response
- NVIDIA NIM GPU embedding: 12ms — invisible to customers
- Parallel batch processing: 1,000+ tickets/sec during spikes
- Vector search across 10M+ chunks: 3ms on GPU, 890ms on CPU
Everything your team needs. Nothing you don't.
Autonomous AI Resolution
AI reads every ticket, retrieves the right context, and sends a complete answer — without human involvement. Target: 70%+ resolution rate.
+Average handle time, vs. 4hr+ for a human-only queue at the same volume.
Confidence Gate
Every AI response is scored before sending. Responses below 95% confidence are held for human review with AI draft included. Zero false confidence.
+Every answer below the confidence threshold gets held for human review — no exceptions.
Knowledge Gap Detection
Automatically surfaces the questions your AI couldn't answer confidently — ranked by frequency. Tells you exactly which docs to write next.
+Written directly from gap reports in their first week on Resolvix.
Real-Time Analytics
Live dashboard showing resolution rate, escalation trends, topic distribution, and confidence scores. Built for support leads who need data, not noise.
+No exports, no waiting on BI — every chart updates as tickets resolve.
Smart Escalation Rules
Define escalation triggers by confidence threshold, business hours, sentiment score, or keyword match. Escalations arrive pre-summarized for your agents.
+Most teams configure their first rule set in a single sitting.
Omnichannel Ingestion
One AI engine for your chat widget, email inbox, Zendesk, Intercom, and HubSpot. Consistent resolution quality across every channel your customers use.
+Widget, email, Zendesk, Intercom, HubSpot — one brain behind all of them.
See the dashboard. Watch it work in real time.
Four forces converged. The window is now.
LLMs crossed the accuracy threshold
Claude 3.5 Sonnet achieves <2% hallucination rate on factual Q&A tasks with RAG grounding — low enough to auto-send responses in production. This was impossible before 2024. The model capability finally matches the use case.
+Below the ~5% threshold most enterprise buyers require before allowing auto-send.
NVIDIA NIM made inference affordable
NVIDIA NIM microservices dropped the cost of GPU-accelerated embedding by 10×. Real-time semantic search — which was a $50K/month infrastructure project 18 months ago — now runs for cents per 1,000 tickets.
+$50K/month infrastructure now costs cents per 1,000 tickets processed.
Customer expectations shifted permanently
Post-ChatGPT, customers expect instant, intelligent answers. The bar for 'good support' moved from 4-hour responses to 2-minute responses. Companies that don't adapt are losing retention to competitors who do.
+The expectation shift customers won't say out loud — they just leave instead.
B2B SaaS ticket volume is exploding
The average B2B SaaS company's support volume grew 3.2× between 2020 and 2024 as products expanded and international markets opened. Hiring alone cannot keep up — the only sustainable path is AI-first automation.
+Headcount can't scale linearly with that curve — automation has to close the gap.
Enterprise infrastructure. Zero ops overhead.
Every Resolvix deployment runs on AWS with NVIDIA inference — giving you Fortune 500 infrastructure without the headcount or complexity.
Amazon Bedrock
Claude 3.5 Sonnet on fully managed API. No GPU ops, instant scale.
+No provisioning — scales with ticket volume automatically.
Amazon Aurora (pgvector)
Serverless Postgres with native vector search for embedding storage.
+Vector + relational data in one engine — no separate vector DB to manage.
Amazon S3
Document storage for knowledge base uploads, exports, and audit logs.
+Every uploaded doc and audit log, versioned and recoverable.
AWS Lambda
Event-driven ticket ingestion and webhook delivery at any scale.
+Scales from 0 to thousands of concurrent events with no servers to manage.
Amazon CloudFront
Global CDN for widget delivery with <20ms P99 latency worldwide.
+Widget loads fast on every continent, not just us-east-1.
AWS KMS + CloudWatch
Encryption at rest for all conversation data. Full audit trail.
+Every read/write logged — the backbone of our SOC 2 effort.
NVIDIA NIM Microservices
Production inference endpoints for embedding models — 3× faster than CPU-based alternatives. Powers our real-time semantic search.
+The difference between a 12ms and 890ms embedding step, at scale.
NVIDIA NeMo Framework
Framework we use for domain-specific fine-tuning of embedding models on customer support corpora.
+Domain-specific embeddings beat generic ones on support language.
NVIDIA Triton Inference Server
High-throughput model server that handles parallel embedding requests during traffic spikes without queue buildup.
+No queue buildup even during product-launch traffic spikes.
CUDA-Accelerated ANN Search
GPU-accelerated approximate nearest-neighbor search across 10M+ document chunks in under 3ms.
+The same search a CPU index would take ~900ms to run.
A $21B market, ripe for AI disruption.
Global customer support software market (Gartner, 2024). Growing at 14% CAGR as digital-first businesses scale globally.
+Gartner's global support-software spend estimate, projected forward at category growth rate. Includes legacy helpdesk tools, not just AI-native entrants.
B2B SaaS companies with 10–500 agents, using at least one support platform (Zendesk, Intercom, Freshdesk, HubSpot).
+Estimated count of B2B SaaS companies in this size band with an existing helpdesk subscription, multiplied by average annual support-tooling spend.
AI-native support platforms in English-first markets: US, UK, Canada, Australia, and Western Europe.
+Assumes Resolvix and early AI-native competitors jointly capture a fifth of SAM within 3 years, in line with category-creation adoption curves.
- VP of Support / Head of CX
- Support Operations Managers
- B2B SaaS founders pre-Series B
- Customer Success Leads
- DevRel and developer support teams
- Starter: $149/mo — up to 1,000 AI resolutions
- Growth: $449/mo — up to 5,000 AI resolutions
- Enterprise: Custom — unlimited + SLA + VPC
- ›AI Credits: Pay-as-you-go for burst volume
- ›Premium Onboarding: $2,500 one-time setup fee
- USUnited States (primary)
- GBUnited Kingdom
- CACanada
- AUAustralia
- DEGermany (2025 Q4)
- NGNigeria / West Africa (2026)
We're not "coming soon." We're in production.
Beta access is live. Twelve design partners are running Resolvix in production today.
Went from 8h → 1.4min avg response. 74% tickets auto-resolved.
Reduced support headcount addition by 2 FTEs for Q4 2024.
CSAT improved from 71% → 91% after 45 days on Resolvix.
Where we've been. Where we're going.
Public roadmap — built from customer conversations and real support data. We ship every 6 weeks.
Foundation
Intelligence Layer
Scale & Integrations
Proactive AI
Enterprise Grade
Built by people who lived this problem.
Our team has scaled support operations at Intercom, Anthropic, Zendesk, and Freshworks. We know what breaks — and how to fix it.
Ezeh Precious
Former Principal PM at Intercom, led enterprise support product for 25,000+ companies. Stanford CS '17. Identified the AI resolution gap while managing a 40-person support team.
Darius Okafor
ML infrastructure lead at Anthropic for 3 years. PhD in NLP from Carnegie Mellon. Published researcher in RAG systems with 12 citations. Built the inference pipelines powering Claude.
Our full team includes ML engineers, a Head of Product, Head of Customer Success, and Infrastructure Engineers.
View all team members →What early customers say
From teams who cut their support queue in under 30 days.
"We went from 8-hour response times to under 2 minutes. Our team now handles strategic conversations — not copy-paste answers. Resolvix paid for itself in 11 days."
"The confidence scoring is genuinely impressive. It knows exactly when to act and when to hand off. Zero false positives in 60 days of production use."
"Resolvix found 34 unanswered question categories in our docs within the first week. Our knowledge base has never been better. Our CSAT went from 71% to 91%."
Built for enterprise compliance from day one
We do not store PII beyond what is necessary for resolution. All data is encrypted in transit and at rest.
SOC 2 Type II
In progress (Q1 2026)
GDPR Compliant
EU data residency available
AES-256 Encryption
At rest and in transit
99.9% Uptime SLA
Growth and Enterprise plans
Start resolving. Stop drowning.
Join 200+ support teams already running on Resolvix. Setup in 15 minutes. First 1,000 AI resolutions free.
Questions? Reach us directly.
✉ hello@resolvix.ai