1-4 hours
of manual review per document
A lawyer or methodologist checks each document against the checklist, switches between dozens of files, and copies findings into spreadsheets.
Turn your review expertise into clear document checks.
Find the issues that matter in minutes, using the policies and checklists your team already trusts.
See it on my documentsSemantIQ.AI — Banking Technology Breakthrough of the Year (Startech Awards, 2026)
01 / 12
SERVICE AGREEMENT № 47/TS-2025
New York January 01, 2024
The Provider shall deliver the services under the terms of this Agreement.
FEES AND PAYMENT TERMS
The total fee is USD 120,000, exclusive of applicable taxes.
Payment within 45 calendar days after the acceptance certificate is signed.
The parties agreed the procedure for submitting closing documents.
The invoice is issued after the acceptance certificate is signed. The Customer confirms receipt of the documents within five business days.
LIABILITY
If payment is overdue, the Provider may charge a 0.1% daily late fee on the outstanding amount.
Suggested edit: 45 calendar days 30 calendar days from the acceptance date.
Each party must notify the other in writing if its bank details change.
APPENDICES
Schedule 1 and the delivery timetable form an integral part of this Agreement.
Review details117 checks
Finding located
Payment period differs from policyQuote from documentPayment within 45 calendar days
RecommendationPolicy: no more than 30 days
SourcePolicy 4.2
ChecksSearch checks
Party details confirmed
Payment term differs from policy
Contract amount specified
VAT rate matches policy
Required appendices attached
Signatory authority verified
Bank details checked
Problem
Document volume grows faster than the team.
Contracts, reports, and internal policies keep growing while hiring and onboarding specialists takes months. In banking and exchanges, mistakes cost fines and reputation.
20-30%
misses and regulatory risks
Fatigue, different interpretations of rules, and hidden risks in 50+ page attachments lead to inconsistent review quality.
x2-x3
growth that hiring cannot absorb
Document flow grows faster than the team. Hiring and onboarding take months, while regulatory deadlines do not wait.
Apply your review logic to every document.
Policies, document requirements, and expert decisions become clear checks with evidence from the source document.
What the rule is built fromChoose a source to change the example
Executable check
Payment term
We transfer existing policies into SemantIQ.AI and validate them on your document set.
- Find in the document
- Payment term clause
- Compare with the rule
- No more than 30 calendar days
- Show to the specialist
- The term exceeds 30 days or the clause is missing
01
02
03
How it works
From document to report in 4 steps inside your security perimeter.
No file leaves your environment. Self-hosted LLM, RAG, and vector storage run on your infrastructure or in your VPC.
01
Extract entities
The NLP module parses structure: parties, amounts, dates, requisites, annex links, and regulatory references.
partyamountdaterequisite
02
Run the checklistA list of rules that every document is checked against. Example: payment term must not exceed 30 days.
Your checklist becomes executable: every rule is checked by the LLM and validated with document quotes.
rule_4.2ok
rule_4.3ok
rule_5.1fail
03
Find discrepancies
Cross-checksThe same fact is compared across several documents. Example: the amount in the contract must match the invoice. across package documents, contracts, policies, text clauses, and regulatory references.
critical3
attention7
ok37
04
Generate the report
A structured report with evidence quotes, DOCX/PDF export, and tracked changes for legal teams.
DOCXPDFJSON
Use cases
Six scenarios, one engine.
SemantIQ.AI adapts to your department methodology, from currency control to non-standard contracts. Your team keeps its current process while SemantIQ.AI follows your rules.
case - large financial institution
Currency control
Review of foreign trade contracts: currency, delivery basis, repatriation, compliance with regulator instructions.
JTBD
So that a currency control specialist can close contracts within the required 1-3 business days without losses under regulatory reporting.
Effect
-91% time
Before
90 min
After
8 min
Three ways to use SemantIQ.AI in your workflow.
Web UI
SemantIQ.AI | Documents+
‹›↻
⌕ semantiq.ru/documents
⋮SERVICE AGREEMENT № 47/TS-2025
The parties agreed payment terms and the document delivery procedure.
Payment term: 45 daysPayment is due after the acceptance certificate is signed.
SemantIQ.AIDeviation foundPolicy: no more than 30 days
Upload documents, review findings and export a structured report in the browser.
Office plug-in
contract.docxSemantIQ.AI
FileHomeInsertReview
4. Payment terms
This Agreement enters into force when both parties sign it.
Payment term: 45 daysThe Provider issues an invoice after acceptance.
SemantIQ.AIDeviation foundPolicy: no more than 30 days
Check documents in Word with comments, highlighted quotes and a checklist.
Backend / API
Private perimeterREST · Kafka
Processed automaticallyWritten to audit log
Connect your document workflow to a processing pipeline through REST or Kafka.
Architecture
Deployed inside your security perimeter.
No external APIs. Everything from the LLM to vector storage runs on your hardware or in your VPC.
Customer security perimeter
InputDocuments
PDF · DOCX · XLSX
NLPEntity extraction
parsing, NER, links
LLMSelf-hosted model
7B / 70B · GPU on-prem
RAGContext search
policies, regulations
Vector DBVector database
document embeddings
RulesChecklists
versions, role model
GlossaryGlossary and regulations
internal terminology
ResultStructured report
- Findings + quotes
- DOCX redline
- JSON for BPM/DMS
- Audit log
On-prem
in your data center or VPC
Self-hosted LLM
data stays in your environment
Audit, roles, logs
SSO, RBAC, full audit trail
Checklist versioning
git-style diff, rollback
Rollout
From pilot to production in 8 weeks.
From kickoff to a production-ready workflow without moving data outside your security perimeter.
Onboarding
Checklist setup, access, environment deployment, and pilot document set upload.
- Kick-off, scope
- On-prem deployment
- Golden-set collection
Calibration
Checklist-to-rules mapping, methodologist iterations, and entity extraction tuning.
- Rule mapping
- LLM calibration
- Interim metrics
Parallel run
SemantIQ.AI works in parallel with the team; we compare results and tune accuracy.
- Shadow-mode
- Discrepancy analysis
- Rule refinement
Production go-live
Production workflow, user training, handover to operations, and SLA.
- Production workflow
- Team training
- SLA and support
Impact calculator
Estimate how much manual work can be removed from the team.
Move the sliders. The calculation shows workload before rollout and after automated review with short expert validation.
Assumptions: after rollout, a specialist spends about 5 minutes validating a document, while SemantIQ.AI performs the main checks against your checklist.
5020 000
10240
Before SemantIQ.AI
1,500 h
per month on manual review
After SemantIQ.AI
83 h
per month on expert validation
Freed / month
1,417 h
Freed / year
17,000 h
Automation
94%
Pricing is tailored to your deployment.
Final terms depend on document volume, number of workflows, on-prem deployment requirements, and integrations. Leave a request and we will prepare a quote for your setup.
BASEup to 500 doc/day
Start for one departmentBASE
One scenario, Web UI, basic SLA. A fast entry point for the first team.
- 1 checklist / department
- Web UI + DOCX/PDF export
- SSO, basic audit
- Support 8x5
Minimal setup without unnecessary integrations
Businessup to 1,500 doc/day
Optimal for several teamsBusiness
2-3 scenarios, Office plug-in, extended SLA. For regular flow and several processes.
- Up to 3 checklists
- Web UI + Office plug-in
- RBAC, checklist versioning
- Support 24x5
- DMS / BPM integration
Best balance of rollout speed and coverage
Enterprise3,000+ doc/day
Maximum controlEnterprise
Unlimited scenarios, dedicated team, custom integrations and models for your regulations.
- Unlimited checklists
- Backend pipeline + API
- Custom models and integrations
- Support 24x7, dedicated TAM
- Joint R&D roadmap
Private AIAPI24x7
Built for complex review work
AI that fits the way your team already works.
We turn established review practice into a reliable workflow your team can use, audit, and improve over time.
9+
years delivering applied AI
200+
AI workflows delivered
20+
projects launched in 2025
80%
of clients return with new work
In eight weeks, the pilot became a production workflow for currency control. SemantIQ.AI removed up to 80% of routine checks and brought important deviations to the team sooner.
MB
Business line owner
Financial services organisation
Example
Currency control
SemantIQ.AI is built by people who ship AI for real work.
Our product and delivery team works with complex document workflows, from the first proof of value to a dependable operating system.
Meet the team ↗
Yaroslav Shmulev
Co-founder & CEO
- 9+ years of ML delivery and Data Science consulting
- Enterprise product and delivery experience
- Computer vision, predictive analytics, and AI systems
- Research and product leadership background
Stas Okrug
CPO
- Building ML, CV, and GenAI products since 2016
- Product strategy for applied AI systems
- Machine learning and data science background
- Teaching and technical leadership experience
FAQ
Frequent questions from security and methodology teams.
Did not find an answer? Write to us - we will send a whitepaper and deployment scheme under NDA.
Where does the model run and where does data go?
The model and all components are deployed on-prem or in your VPC. Documents and embeddings never leave the customer perimeter. External APIs are not used.
What SLA do you provide for availability and processing time?
Standard SLA is 99.5% availability and typical document processing under 90 seconds. Enterprise contracts can include 99.9% and dedicated infrastructure.
How are checklists updated?
Checklists are versioned with branches and rule diffs. A new version can be tested on a golden set before production rollout. All changes are logged.
What do you do with our data for training?
Nothing without separate written consent. Client data stays on the client side. Fine-tuning is done only on synthetic or anonymized data by agreement.
How long does rollout take?
A shadow-mode pilot takes 8 weeks. Production go-live usually takes another 4-8 weeks depending on integrations such as DMS, BPM, and core systems.
Which systems do you integrate with?
REST/Kafka, typical DMS and BPM systems, Active Directory / SSO, and internal buses. The Word plug-in is available for users who work with documents manually.
Test it on your documents in 1-2 weeks.
Take a short onboarding. In a few minutes we will understand your document types, review volume, and rules, then suggest a suitable pilot format.
Find my scenario