Faster, more accurate processing
Automating bookkeeping, payroll and transaction reconciliation reduces human error and gives finance teams real-time insight instead of month-end catch-up.
AI accounting · Finance automation
AI Accounting Services for accurate, compliant finance operations
We build AI systems that take repetitive work out of accounting: bookkeeping, invoice and expense processing, reconciliation and reporting. Machine learning models check transactions for anomalies, support tax compliance and forecast cash flow, and they integrate with the ERP, tax and payroll systems you already run.
- Fewer manual entries and reconciliation errors
- Anomalies and fraud risks flagged in transaction data
- Cash flow and revenue forecasts from your own data
- 57% of our team hold a PhD
- German company, working under the GDPR
Discuss your project
5.0 18 reviews on Clutch Go Global Awards winner
Trusted by enterprises, scale-ups and non-profits
What you gain
What AI changes in your finance function
We focus on the accounting workflows where automation improves accuracy, compliance and the speed of reporting.
Accuracy and compliance built in
Automated reconciliation, tax compliance monitoring and audit tracking keep records precise, while fraud detection models analyse transactions for anomalies.
Systems that grow with you
Cloud-based platforms, predictive analytics and machine learning adapt to new business needs and regulatory changes, from reporting to budgeting and payroll.
What we deliver
Our AI accounting capabilities
Choose a single workflow to automate or build a connected set of AI tools across your finance operations.
- 01
Invoice processing and accounts payable
Automated invoice matching, validation and reconciliation, plus AI support for payment processing and vendor management.
- 02
Automated bookkeeping and reconciliation
AI-driven ledger management and models that reconcile bank transactions and match them automatically.
- 03
Expense and procurement tracking
Tools that categorise and validate expenses, automate procurement approvals and track costs for transparent reporting.
- 04
Tax calculation and compliance
Automated tax calculations and filings that apply current regulations, reducing the risk of errors and penalties.
- 05
Auditing and compliance monitoring
Real-time audit tracking and enforcement of regulatory requirements across your financial processes.
- 06
Fraud detection and anomaly tracking
Machine learning models that monitor transactions for suspicious activity and unusual patterns and adapt to new fraud tactics.
- 07
Predictive financial analytics
Forecasts of revenue, expenses and cash flow from historical data, with budget optimisation for better resource allocation.
- 08
Automated payroll processing
AI-supported salary calculations, deductions and tax withholdings for accurate employee payments.
- 09
Custom financial reporting
AI-generated financial statements, cash flow reports and profitability analyses tailored to your reporting needs.
- 10
Integration with finance systems
Scalable, cloud-based AI accounting infrastructure connected to your ERP, tax and payroll software without disrupting operations.
Technologies we work with
- PyTorch
- TensorFlow
- PySpark
- Hadoop
Not sure which of these you need? Describe the problem and we will recommend the approach.
Discuss your projectCase studies
All case studiesResults we delivered for our clients
Oil and Gas · Computer Vision, NLP
Automated information extraction from invoices
25xfaster invoice processing
A web service that extracts data from different types of invoices, automating data entry for a multinational equipment distributor and saving 850 man-hours per month.
Read the case study
Credit scoring model for an SME lending company
800+ features from 14 data sources
A machine learning model that predicts borrower default and fully automates underwriting, improving loan portfolio quality and cutting decision time from hours to a fraction of a minute.
Semantic company search for private equity deal sourcing
1 week of analyst work saved per new niche market
An end-to-end NLP solution that lets private equity funds and venture capital firms find and cluster relevant companies by meaning rather than by industry code or keyword.
Risk estimation model for a medical insurance company
Outperformed statistical baseline models
A neural network model, trained on five consecutive years of historical medical data, that estimates the risk of economic loss so a niche health insurer can optimise its pricing policies.
Custom LLM chatbot with document references for a consulting firm
In-house LLM no reliance on third-party LLM services
A private, hosted chatbot built on a custom large language model, giving a consulting firm answers with source references while keeping full control over its data.
Why AI Superior
Research-grade AI, delivered like a product company
Many vendors can build a demo. Making AI work reliably on real data, inside real business processes, takes a different kind of team. This is what you get with us.
01
Scientists, not generalists
AI Superior was founded in 2019 by AI researchers with published papers and patents. That depth runs through the whole team.
- PhD57%
- MSc28%
- BSc15%
02
Built to reach production
Every project is de-risked in stages, with a go/no-go decision at each milestone, so budget goes only into solutions proven on your data.
4× our proof-of-concept success rate compared with the market average
03
A complete team from day one
Strategy, models and software are designed together, not handed over between separate vendors.
- Product AI product owner, business analyst, project manager
- Data Data scientists, ML engineers, BI analyst
- Development Software engineers, QA, DevOps
04
Your data stays under control
When data must not leave your organisation, we build on private, self-hosted models instead of third-party AI services.
- GDPR, German company
- Self-hosted LLMs
- Transparent methods
Our team
The experts behind your project
Your project is led by senior data scientists and engineers with research backgrounds, supported by our product and development teams.
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Dr. Sergey Sukhanov Chief Data Scientist PhD in Machine Learning, data scientist since 2013. Publications, patents and 30+ implemented AI use cases; several IEEE awards.
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Dr. Ivan Tankoyeu Chief Data Officer PhD in Computer Science. Recognised by the IEEE GRSS Society, winner of the Global AI Hackathon 2017, Kaggle TOP500 data scientist (2014).
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Sergio Frayle, M.Sc. Lead Data Scientist Master’s in AI, Pattern Recognition and Digital Imaging; 7+ years in image processing and computer vision, with publications.
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Enrique Fernández, M.Sc. Senior ML Expert Master’s in Robotics and Mechatronics; builds and deploys complex AI solutions, particularly in computer vision and NLP.
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Peter Luck, M.Sc. AI Consultant Master’s in Business Engineering and Computer Science; product and project manager for machine-learning products.
Client reviews
5.0 Rated 5.0 by the people we build for
18 verified reviews on Clutch
“AI Superior showed a strong commitment to delivering high-quality solutions to us.”
Improves and maintains the data infrastructure of a credit solutions company: data pipelines, ML models and custom reports.
“I would be more than happy to speak to anyone about how much of a rock star you guys are.”
“They are not only great theoretical experts, but also deliver with their awesome hands-on skills.”
How we work
A proven AI project life cycle
Every stage ends with a result you can check. You never commit to the next stage before seeing the previous one work, so scope, budget and risk stay under your control.
- Estimate before you commitYou see scope and expected results before the build begins.
- Go/no-go after every stageEach stage ends with a result you can check and a decision on the next step.
- Risks reported openlyWe share risks and opportunities as soon as the analysis shows them.
- Go / no-go decision
Discovery
We work through the business problem with your team and define the direction of the solution.
You get: Scope, approach and a high-level estimate of effort and expected results
- Go / no-go decision
Data and feasibility
We get to know your team and data and check whether AI is the right tool for this problem.
You get: A data assessment and a clear feasibility verdict before any build starts
- Go / no-go decision
Proof of concept / MVP
We start small, using the data already available, to test the solution in practice.
You get: Measured results on your own data and a basis for the investment decision
- Go / no-go decision
Integration and scaling
We integrate the solution into your existing systems, fine-tune the models and adjust them where needed.
You get: A solution running inside your processes, compatible with your data and systems
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Evaluation
Together we evaluate the results of the implementation and make sure they are interpreted correctly.
You get: A clear picture of the value delivered and where to improve next
Use cases by industry
AI accounting across industries
Examples of the finance workflows we automate in each sector.
Insurance
Streamlined financial reporting, fraud detection and claims processing.
- Financial reconciliation for automated claims processing
- Fraud detection in insurance transactions
- Automated expense tracking and premium calculations
Finance
Accounting automation for reporting, investment analysis and fraud prevention in financial institutions.
- Risk assessment models for financial transactions
- Automated fraud detection and anomaly tracking
- Reconciliation and compliance automation
Construction
Automated cost tracking, budgeting and payroll for construction projects.
- Project cost estimation and budget management
- Expense tracking for materials and labour
- Payroll processing for the construction workforce
Real Estate
Automated lease management, transaction reconciliation and tax filing.
- Property valuation and financial forecasting
- Automated rent and mortgage payment processing
- Tax calculations for real estate transactions
Pharmaceuticals
Financial management from research funding to operational cost tracking.
- Cost optimisation for drug research and development
- Automated financial compliance and audit tracking
- Revenue forecasting for pharmaceutical sales
Government
Automated financial processes, compliance and public budgeting.
- Public fund allocation and expense tracking
- Automated tax compliance and regulatory reporting
- Financial auditing and fraud detection
Media
Automated royalty payments, advertising revenue tracking and financial reporting.
- Advertising revenue and royalty payment tracking
- Accounting for subscription-based services
- Budget forecasting for content production
Oil and Gas
Automated asset tracking, cost analysis and risk management.
- Expense tracking for exploration and operations
- Automated reporting for regulatory compliance
- Risk assessment for energy market investments
Tech Start-ups
Automated bookkeeping, expense management and forecasting for fast-growing companies.
- Revenue and expense tracking
- Automated invoice processing and tax calculations
- Financial forecasting and budget optimisation
Space
Financial management for research budgets, operational expenses and funding distribution.
- Expense tracking for missions and research projects
- Budget allocation for government and private funding
- Financial risk analysis for space industry investments
NGOs and Non-profits
Financial transparency, grant management and compliance with funding regulations.
- Donor fund allocation and financial reporting
- Automated expense tracking and budget forecasting
- Compliance monitoring for non-profit finances
Awards and recognition
Ranked among the top AI companies
Recognised by international business awards and by independent B2B platforms that rank companies on verified client reviews.
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Go Global Awards Winner 2021 · International Trade Council -
Best Data Science & AI Service Provider, Europe 2021 · German Business Awards -
Top Artificial Intelligence Company 2023 · Clutch -
Top Machine Learning Company 2023 · Clutch -
Clutch Champion Fall 2023 · Clutch -
Clutch Global Fall 2023 · Clutch -
Top BI & Big Data Company Germany 2023 · Clutch -
Top IT Services Company Germany 2023 · Clutch -
Top Artificial Intelligence Companies 2023 · TrueFirms -
Top Machine Learning Companies 2021 · Techreviewer -
Most Reviewed IT Services Companies Germany · The Manifest
What do AI accounting services cover?
They apply AI to bookkeeping, invoice and expense processing, reconciliation, financial reporting, tax compliance and fraud detection. The aim is to reduce manual work and errors and to give finance teams better information for decisions.
How does AI improve financial accuracy?
Models process large volumes of financial data consistently, automate reconciliations and reduce manual data entry. They also detect anomalies and check records against accounting standards, so errors surface before they reach your statements.
Can AI accounting integrate with our existing financial software?
Yes. We integrate AI solutions with existing platforms such as ERP systems, tax software and payroll systems, so you improve financial management without disrupting current operations.
How does AI support tax compliance?
AI automates tax calculations, applies current tax regulations and generates tax reports. This reduces the risk of errors and penalties and helps identify applicable deductions.
Can AI detect financial fraud?
Yes. Fraud detection systems analyse transactions in real time and flag suspicious activity and unusual patterns. Machine learning models keep adapting to new fraud tactics.
How does AI help with cash flow management?
Models analyse past and current financial data to predict cash flow trends. This helps you manage expenses, plan investments and prevent liquidity shortages.
How does a project run?
We start with discovery to assess your accounting requirements and automation opportunities, then configure models and connect data sources. An MVP tests the automation and refines the models; once validated, we scale and integrate it with your financial software and keep monitoring and fine-tuning performance.
Start your project
Tell us what you want AI to do for your business
Share a few details and our AI team will take it from there. Here is what happens next:
- We review your request and reply by email.
- A call with an AI expert to understand your problem, data and goals.
- A clear recommendation: the approach we suggest and a high-level estimate.
Prefer to pick a time yourself?
Schedule a call