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AI assistant for field teams
"Better text SolvOps"

A knowledge base with an AI assistant that answers in seconds

When equipment fails, your specialist no longer waits for an engineer. They scan a QR code, describe the issue — text or photo — and get a verified, step-by-step resolution.

Book a demoHow it works

No apps · No accounts · 60-second onboarding

ServiceTech · Line 3
SESSION 4F2A
PIN
Boiler throws error E04 and won't start
E04 — low water pressure in the system. Follow these steps:
1Check the gauge — pressure should be 1.2–1.5 bar
2If lower, refill via the bottom valve
3Clear the error: hold Reset for 3 seconds
Resolved in 8 seconds
Describe the issue or attach a photo…
Resolved by AI
94%
L2 escalations
−70%

For service & field teams, operations, and technical support

The problem

The knowledge exists. Fast access doesn't.

Equipment is down, the diagnostic tool throws an unknown error — the technician calls your support line. Again. Your engineers answer the same questions every day, while critical knowledge sits in PDFs and spreadsheets nobody reads. Every escalation costs time. Every return of working equipment costs money.

Hours
specialists wait for answers while equipment sits idle
Returns
of working equipment due to install errors — direct revenue loss
Same questions
every day overwhelm your support team with routine
How it works

From document to resolution in three steps

01

Upload

Admins upload PDFs, Excel, Word, CSV and images. The AI extracts and structures Q&A pairs automatically.

02

Curate

The AI drafts each entry, an LLM judge validates it against the source and your policies — and only then does it reach an operator for final approval.

03

Resolve

A specialist scans a QR, describes the issue in text or photo — and gets the correct step-by-step resolution in seconds.

SolvOps cuts ticket resolution from hours to seconds. A specialist scans the QR code on the equipment, enters a PIN and describes the problem in text or with a photo — no app installs, no accounts. The request runs through a three-tier hybrid search: an exact match against known issues first, then semantic search over a vector knowledge base (pgvector), and only for unusual cases does LLM reasoning step in. Every answer is built on entries that passed a double check — an LLM judge validates the draft against the source document and an operator approves it by hand — so unverified information never reaches the field. When confidence is too low, the system opens a support or CRM ticket with the full conversation context. In pilot deployments, up to 94% of requests are resolved without an engineer, and second-line escalations drop by 60–80%.

SolvOps demo: from QR scan to resolution in 60 seconds
Product

Three roles — three screens

app.getsolvops.com
Specialist PWA chat: the AI assistant returns a step-by-step fix from an equipment photo
Capabilities

Everything you need for instant field support

Core engine

Hybrid AI search: a 3-tier cascade

Every query passes three layers before escalating. Maximum accuracy, minimum cost, no single point of failure.

01
Exact match
Instant retrieval for known issues
instant
02
Vector search
pgvector HNSW finds related meaning
semantic
03
LLM reasoning
Novel and ambiguous descriptions
llm

Zero-friction onboarding

A branded PWA, unique URL, QR code and printable guide. Access by 4-digit PIN — no accounts, no app stores.

Multi-modal input

Text or photo: broken parts, error screens, indicator lights, diagrams. A vision model analyses the image and matches the KB.

Two-stage verification

AI drafts an entry → an LLM judge validates it against the source and your policies → an operator approves. Draft queue, bulk approval, zero unverified answers.

Blind-spots intelligence

Unresolved queries land in a dedicated view. See exactly what the AI couldn't answer and close gaps proactively.

ROI dashboard

Queries, resolution rate, fallbacks, saved engineer hours, quota usage. Management-ready metrics out of the box.

Auto CRM escalation

At its confidence limit the AI opens a ticket itself — with the specialist's input, session ID and context. Nothing is dropped.

Business impact

Hours become seconds

Metric
Without solvops
With solvops
Resolution time
Hours of waiting
Seconds
L2/L3 escalation rate
Baseline
−60–80%
Engineer hours saved
~50 hrs / 300 resolved
Onboarding a specialist
Hours of training
< 60 seconds
Knowledge base setup
Days of manual work
Same day
Knowledge-gap visibility
Unknown
Real-time
Equipment returns (install errors)
Direct revenue loss
Reduced drastically
New partner onboarding
Days of training
< 60 seconds

* Saved hours calculated at 10 min average engineer time per resolved query. Metrics are based on pilot deployments.

Architecture

A production stack built for load

Multi-tenancy, quotas and data isolation at the gateway. AI orchestration sits in its own layer; secrets live in Vault.

Client layer
Next.js 15
Specialist PWAAdmin dashboardQR → PIN → Chat
API gateway
Django Ninja · Python 3.12
Multi-tenancyQuotasJWT authRouting
Data & AI
PostgreSQL 16 · Workflow Engine
pgvector HNSWLogs & analyticsLLM / Vision / Embeddings
Infrastructure
Secrets & Workers
HashiCorp VaultDjango Q2 WorkersPG Broker
Technology stack
Python 3.12Django NinjaNext.js 15PostgreSQL 16 + pgvectorWorkflow EngineLLMHashiCorp VaultDjango Q2
Security

Enterprise-grade by default

Every client's data is isolated, keys never sit in code, and every uploaded file is validated at the API boundary.

Keys in Vault

LLM API keys in HashiCorp Vault — never in env vars or source.

Tenant isolation

Full per-tenant isolation — one client can't see another's data.

JWT + rotation

Authentication with refresh-token rotation.

File validation

All uploads validated, sanitised and size-limited.

Pricing

Transparent pricing, per company

Priced per tenant (company). Volume discounts available.

Start
500queries / mo
Up to 10 specialists
Basic chat & KB search
Basic analytics
Up to 10 documents / 50 MB knowledge base
Support & project guidance
Get started
Popular
Business
5,000queries / mo
Unlimited specialists
Everything in Start
Photo recognition — screen & error analysis
Blind-spots report
Up to 100 documents / 500 MB base
Priority support
Book a demo
Enterprise
Custom
Custom volume
Everything in Business
Exclusive rights
Dedicated server
CRM/ERP integration
Custom SLA
Contact us

Need a different volume? Let's discuss custom terms.

FAQ

Frequently asked

What is SolvOps?+

SolvOps is an AI assistant for technical support and field teams. It answers specialists' questions from the company's verified knowledge base: a worker scans a QR code, describes the problem in text or with a photo, and gets a step-by-step fix in seconds. Requests the AI cannot resolve are escalated to support or CRM automatically.

Do we need to train staff?+

No. A specialist scans a QR, enters a 4-digit PIN and describes the issue. The whole field team onboards in under 60 seconds — no apps, no accounts.

Where do the answers come from?+

Only from your verified knowledge base. Every entry goes through two checks: an LLM judge first validates the draft against the source, then an operator approves it by hand — the AI never serves unverified information.

What if the AI doesn't know?+

The system automatically opens a support ticket with the specialist's input, session ID and context, and notifies your team. Nothing is dropped.

Where are keys and data stored?+

LLM API keys live in HashiCorp Vault, never in code. Client data is fully isolated, and access is protected by JWT with token rotation.

Which file formats can we upload?+

PDF, Excel, Word, CSV and images. The AI extracts Q&A pairs automatically; operators only review.

How long does setup take?+

The knowledge base can go live the same day you upload your documents — instead of days of manual work.

Alexander Butakov
Who builds SolvOps
Alexander Butakov · Founder & engineer

IT consultant and engineer with 10+ years across web development, e-commerce and digital marketing. Builds SolvOps end-to-end — from the RAG pipeline and vector search to the field-specialist PWA. Helps businesses put LLMs and neural networks to work in real processes.

Cut resolution time from hours to seconds

We'll run a pilot on your own documents — verify every answer yourself before committing.