SignalVera — Custom AI Call Analysis (On-Premise)

Stop Sampling 1%. Analyze 100%.

No SaaS Fees. No Vendor Lock-In. Manual QA at 1%. AI QA at 100%. Turn Every Call Into Actionable Intelligence.

Your QA Strategy Is Leaking Revenue

Most teams are stuck between two bad options: manual QA that can't scale and SaaS tools that won't adapt.

The Manual QA Trap

Human review is slow, expensive, and incomplete.

• You're Flying Blind: Reviewing 1-2% of calls means 98% of issues go undetected. Compliance violations stay invisible.
• The Math Doesn't Work: 10,000 calls? You'd need 5+ analysts for just 10% coverage. 100% analysis is impossible without an army.
• Inconsistent & Slow: Feedback arrives 3-5 days late. By the time you catch a mistake, the damage is done.

The SaaS Trap

Generic tools lock you in and tax your growth.

• Generic AI That Doesn't Speak Your Language: Off-the-shelf tools can't adapt to your scripts or edge cases. You're forced into their rigid framework.
• The Per-Call Tax: SaaS tools charge a markup per minute. It's a permanent tax on growth that erases your margins as you scale.
• Your Data. Their Servers.: No control over models or security. Want to switch? Good luck migrating years of data and workflows.

There's a Third Way

What if you could have the control of custom engineering with the speed of SaaS?

• Analyze 100% of calls in real-time
• Skip 12 Months of R&D — Don't waste a year hiring Product & Tech teams to reinvent the wheel. We deploy a battle-tested architecture on Day 1.
• Deploy on your infrastructure (Full Control)
• Customize to your exact business logic

Time to Live: In-House Build = 12 Months. SignalVera = 2 Weeks.

Vendor Demos vs Your Reality

Why that 95% accuracy claim doesn't hold up on your actual calls.

In Vendor Demos (95% Demo Accuracy)

• Carefully curated call examples — 100-500 calls selected for clarity, not difficulty
• Clean, studio-quality audio — No background noise, echo, or connection issues
• 3-5 simple compliance rules — Basic checks from public regulations
• Standard vocabulary only — No company jargon, slang, or technical terms
• Native speakers, clear speech — No accents, no mumbling, no emotional customers
• Predictable conversation flow — Scripted interactions, no interruptions

On Your Actual Calls (67% Actual Production Accuracy)

• Every call analyzed, zero curation — Including your absolute worst recordings
• Real-world audio disasters — Background noise, crosstalk, holds, transfers
• 40+ layered compliance rules — Regulatory + internal policies + exceptions
• Your specific business language — Product codes, internal abbreviations, slang
• Speech pattern variations — Regional accents, dialects, non-native speakers
• Chaotic, emotional conversations — Angry customers, crying, interruptions

Why This Happens (And Why We Do It Differently)

This isn't about dishonesty. It's about incentives. SaaS vendors need impressive demos to close enterprise deals. So they optimize for what sells, not what works in production.

They test on curated clean calls, run basic compliance checks, and report best-case accuracy. Then you deploy on YOUR calls, and discover that your audio is messier, your rules are more complex, and that 95% accuracy becomes 67%.

Our Approach

• Test on YOUR actual calls
• Validate YOUR 40+ rules
• Measure on YOUR worst audio
• Show false positives & negatives

How We Work: Transparent. Consultative. No Lock-In.

Four phases. Clear deliverables. Exit points at every stage.

Phase 01: Discovery Call (30-60 minutes)

We diagnose whether custom AI deployment makes sense for YOUR situation. This isn't a sales pitch — it's a technical assessment.

• Current QA process and pain points
• Specific compliance violations to catch
• Infrastructure constraints (On-prem/Cloud)
• Timeline and success criteria

Deliverables: Feasibility verdict (Yes/No), Timeline estimate (10-14 weeks total), Alternative recommendations if not feasible

We say 'no' to ~30% of discovery calls. We'd rather be honest early than waste your time.

Phase 02: Pilot Validation (1-2 weeks)

We test on YOUR actual calls. You see real accuracy on YOUR data before committing to full implementation. No blind trust.

• You provide 1,000-5,000 production calls
• We test 3-4 model combinations
• We apply YOUR specific compliance rules
• We measure accuracy on YOUR criteria
• We identify edge cases and challenges

Deliverables: Full Evaluation Report, Confusion Matrix (True/False Positives), Go/No-Go Recommendation

This is OUR risk phase. We prove it works before you commit to the full build.

Phase 03: Custom Implementation (6-10 weeks)

We build your custom AI system on your infrastructure. Weekly check-ins. Milestone validations. Full transparency.

• Weeks 1-2: Foundation & Infrastructure
• Weeks 3-4: Core Pipeline Build
• Weeks 5-6: Compliance & Custom Rules
• Weeks 7-8: Dashboard & Integration
• Weeks 9-10: Testing, Training & Refinement

Deliverables: AI pipeline on YOUR infrastructure, Custom prompts for YOUR rules, QA dashboard and reporting, Full source code and docs, Weekly progress updates

We don't move to the next phase until you approve. No rushing. No corners cut.

Phase 04: Handover & Independence (1-2 weeks)

We train your team, document everything, and exit gracefully. You own it completely. Zero dependency on SignalVera.

• Technical Team Training (Architecture)
• QA Team Training (Dashboard usage)
• Compliance Team Training (Auditing)
• Leadership Overview (ROI & Metrics)

Deliverables: Full Source Code (Prompts, Pipelines), Architecture & Data Flow Docs, Operational Guides & Playbooks, Evaluation Methodology

We're incentivized to make you independent. We build it right the first time.

We Build. You Own.

• No Recurring Fees: One-time build. That's it. No monthly invoices. Ever.
• No Vendor Lock-In: You own the code and prompts. Modify it yourself or hire anyone.
• No Black Box: Full transparency. You validate accuracy. You see how it works.

After handover: Zero dependency on SignalVera. You own the system. Forever.

Why This Works

• Battle Tested: We've spent months in production environments, not demos. We know what breaks in the real world.
• Accuracy First: We've seen what breaks accuracy, what improves it, and how to tune models for specific vernaculars.
• Cost Control: We know where costs silently explode and how to design AI CQA systems that scale without compromise.

SignalVera is built from those learnings.

Calculate Your Break-Even Point (Build vs. Buy)

See exactly when owning your infrastructure becomes cheaper than renting SaaS. One-time setup fee of $18,000. Running cost of $0.004 per minute vs SaaS at $0.06 per minute. Break-even typically within 2-4 months depending on call volume.

Book a Discovery Call

Find the signal in the noise. Your Data. Your Logic. Your Future.