AI-native SaaS for regulated industries · Globally

Software that
delivers
outcomes.

AI-native SaaS for regulated industries — Integrator (ETL and system integration), Optimizer (code and process performance), DocuGen (documentation generator from code repositories), SecureAudit (security review generator from code repositories) — built on the Anthropic Claude API. CCA-F certified (Claude Partner Network) in Claude solution architecture.

Our services Book a pilot
4
AI-native services
CCA-F
Claude certified
Global
Service coverage
OSS
pyvar.com
CCA-F · Claude Partner Network
Basel III/IV
FRTB IMA/SA
MiFID II
EMIR
GDPR compliant
Services

Four AI-native services,
one platform.

AI-native SaaS for regulated industries, all built on the Anthropic Claude API: ETL and system integration generated from your schemas and API descriptions, code and process performance, and documentation and security reviews generated from your code repositories.

01
Integrator
Software Integration as a Service (SIaaS)
ETL and system integration, generated by Claude from your schemas, API descriptions and sample data: Python ETL scripts, API connectors and webhook handlers in seconds — and nothing you upload is stored. Live now in alpha.
ETL scriptsAPI connectorsWebhooks
Explore Integrator →
02
Optimizer
Software Optimization as a Service (SOaaS)
Code and process performance. Claude profiles your codebase and workflows to improve performance, efficiency and code quality — from algorithmic complexity down to database queries.
PerformanceEfficiencyCode quality
Explore Optimizer →
03
DocuGen
Software Documentation as a Service (SDaaS)
A documentation generator built from your code repositories — automated, accurate and always current, kept in sync with every commit, including compliance-ready doc sets for regulated environments.
AutomatedAccurateAlways current
Explore DocuGen →
04
SecureAudit
Software Security Review as a Service (SSRaaS)
A security review generator built from your code repositories, covering vulnerability scanning, credential detection and remediation — delivered as a pull request, not a PDF.
Vulnerability scanningCredential detectionRemediation
Explore SecureAudit →
Also by Fibtec · Open source
pyvar.com — Financial Risk Computation Platform
385 regulatory-grade financial and risk functions across 8 domains, exposed as a REST API. Built on NumPy, Numba and the Anthropic Claude API. Free, open source (Apache-2.0 licensed), and separately hosted at pyvar.com.
Visit pyvar.com ↗
385
Functions
8
Domains
OSS
Open source
Also by Fibtec · Alpha release
tengrade.co.uk — Anonymous, Auditable Exam Grading
TenGrade grades open-ended exam answers anonymously and auditably. It does not hire, rank, or decide — that responsibility stays with you. Currently in alpha release, separately hosted at tengrade.co.uk.
Visit tengrade.co.uk ↗
Anonymous
Candidates
Auditable
Every result
Alpha
Status
Also by Fibtec · Open source
claude-docker-public — Containerized Sandbox for Claude Code
A Docker setup for running Claude Code with the container itself as the security boundary — plugins baked into the image at build time, zero network calls at container start, no reliance on a permission prompt. Apache-2.0 licensed, and the same setup we use to build pyvar.com.
View on GitHub ↗
41
Plugins baked in
0
Live network calls
OSS
Open source
How we work

Every engagement is a triangle.
Savings, speed, accuracy.

Across all four services we track the same three axes — savings, speed and accuracy — each normalised so 0 is no improvement and 1 is the theoretical best. Committing to a target triangle up front and overlaying what's actually delivered gives an honest, comparable read on every engagement: the bigger the triangle, the more efficient the outcome.

Iron Triangle: savings, speed and accuracy Illustrative expected-vs-actual comparison, inverted so bigger reads as better. Expected: savings 0.65, speed 0.70, accuracy 0.75. Actual: savings 0.85, speed 0.90, accuracy 0.90. Values are normalised 0 (no improvement) to 1 (theoretical best), plotted on three axes 120° apart. Savings Speed Accuracy
Expected — committed at kickoff
Actual — delivered

This is an illustrative worked example, not a specific client's measured result — it shows how the model reads, not a guaranteed outcome. Any single axis at 0.2 or below is flagged regardless of the combined score: the triangle is the headline, the three axes are the audit.

Expected
Savings0.65
Speed0.70
Accuracy0.75
TES 9.1/10
Actual
Savings0.85
Speed0.90
Accuracy0.90
TES 9.9/10
About Fibtec

Financial engineers,
now AI-native.

Fibtec is an AI-native software company building outcome-focused Claude applications for regulated industries — financial services and beyond.

Every service in our suite is built on the Anthropic Claude API, and our team holds CCA-F certification (Claude Partner Network) in Claude solution architecture. We also built pyvar.com, our open-source risk computation platform, to give the financial engineering community free access to institutional-grade risk functions, and TenGrade, our anonymous exam-grading platform, currently in alpha release.

Start a pilot pyvar.com ↗ tengrade.co.uk ↗
Built on
The Anthropic Claude API
Certified in
CCA-F · Claude solution architecture
Focused on
Regulated industries
Also built
pyvar.com — open source risk platform
Also built
tengrade.co.uk — anonymous exam grading (alpha)
Get in touch

Ready to see outcomes?

Tell us what you're building and we'll show you how Claude can ship it — integration, performance, documentation or security.

info@fibtec.co.uk

CCA-F certified (Claude Partner Network) · built on the Anthropic Claude API