Software services
AI, payment & platform integrations
Integrations with the platforms modern products run on: large language model APIs, real-time voice and video, payment gateways, video and streaming, email and SMS, and enterprise learning systems. Each one is built to be idempotent, observable and reconcilable, because every provider eventually has a bad day.
Outcomes
- AI features that stay fast and affordable at real usage
- Payment and payout records finance can trust
- Provider outages absorbed rather than passed to customers
The challenge
What usually brings clients to us
Your product depends on someone else's platform: a model API, a payment provider, a streaming service, a customer's LMS. The first version was quick. Now there are duplicate charges nobody can explain, AI calls that time out under load, and a finance team reconciling by hand.
Provider documentation describes the happy path. Production is everything else: webhooks delivered twice or out of order, rate limits, partial failures and API versions that change underneath you.
What you receive
- Working integrations with the platforms in scope, in production
- Idempotency, retry and failure handling designed in and tested
- Reconciliation or delivery-status tracking for every integration
- Cost, usage and error monitoring for AI and third-party calls
- Documentation of every integration contract, limit and failure mode
Approach
How we deliver it
AI features built for production
LLM calls treated like any other critical dependency: timeouts, retries with backoff, cost and usage visibility, fallbacks, evaluation and logging where policy allows. OpenAI, Anthropic, Azure OpenAI and open models.
Payments that reconcile
Stripe, Adyen, PayPal and PSD2 or SEPA flows built around idempotency keys, webhook verification and a reconciliation path, so every payment state can be explained.
Real-time voice, video and messaging
Conversational AI over WebRTC and LiveKit: speech transcribed, answered by a model and spoken back in real time. Alongside it, video encoding and streaming, email and SMS delivery, and SCORM, AICC and xAPI, each with delivery status tracked rather than assumed.
One discipline, whatever is on the other end
Idempotent handlers, bounded retries, dead-letter handling and observability. The provider changes; the engineering standard does not.
Client work
Where we have delivered this
Anonymised engagements delivered by the Codentures team. See all client work.
- E-commerceEU
Multi-vendor marketplace with automated payouts
A European retail group
A multi-vendor marketplace on Stripe Connect with automated seller payouts, payout reconciliation and real-time inventory sync.
- 40+ active vendors
- Automated payout reconciliation
- Video SaaS
Live video streaming and collaboration platform
A real-time collaboration product
A live streaming and real-time collaboration platform delivered to a hard deadline, integrating three video providers over SignalR-based messaging.
- Three video-provider integrations
- Real-time collaboration via Azure SignalR
- EdTech
Multi-tenant learning and fundraising platform
A corporate learning provider
A multi-tenant SaaS platform spanning corporate training delivery, fundraising campaigns and executive analytics, with payment processing and BI reporting.
- Three product domains under one tenancy model
- Executive analytics in Power BI
Engineering experience in our network
What our engineers have already shipped
Work delivered by engineers in the Codentures network before they joined us, described without client names. It is shown so you can judge the depth behind this service. It is not presented as Codentures client work.
Digital health
Real-time voice and video AI health assistant
A conversational health assistant users speak to over live video: speech is transcribed, answered by a language model and spoken back by an avatar in real time, with nearby-doctor discovery and conversation history.
- Speech-to-text into Azure OpenAI and back as speech
- Real-time media over LiveKit and WebRTC
- Azure OpenAI
- LiveKit
- WebRTC
- React Native
Fit
Who this suits
Product companies whose revenue or customer experience depends on third-party platforms, and teams adding AI capabilities to an existing product.
For a single, low-stakes integration with no ongoing operational weight, a small fixed-scope build is usually the better fit.
Typical technologies
- OpenAI
- Anthropic
- Azure OpenAI
- LiveKit
- WebRTC
- Speech-to-text
- Stripe
- Stripe Connect
- Adyen
- PayPal
- Twilio
- SendGrid
- Bitmovin
- SCORM / AICC / xAPI
- Azure Functions
- .NET / C#
Send us the system and the symptom
A scoping conversation takes an hour. You will leave it knowing how big the problem is, where the risk sits, and what the sensible first step costs.