Services
Services for production AI and modern product engineering.
We build the full system: product strategy, architecture, agentic AI, model operations, cloud platforms, web and mobile apps, and the observable delivery layer around them.
Product Engineering
End-to-end product delivery from strategy and UX through APIs, microservices, QA automation, release operations, and post-launch iteration.
Applied AI Agents
Agentic workflows for research, extraction, decision support, routing, and escalation, wired to real business tools with human checkpoints.
Knowledge AI & RAG
RAG, semantic search, document intelligence, and knowledge graphs over the documents, data, and systems your business already owns.
Model Tuning & MLOps
Fine-tuning, model selection, ML application delivery, evals, release pipelines, telemetry, and ongoing model operations.
Cloud Migration & Platforms
Migration from legacy and on-prem systems to cloud-native platforms, with architecture, automation, security, and operations built in.
Web, Mobile & Growth Systems
Marketing sites, iOS and web apps, growth platforms, analytics, integrations, and customer-facing systems built to convert and scale.
01
Product Engineering
End-to-end product delivery from strategy and UX through APIs, microservices, QA automation, release operations, and post-launch iteration.
The same product engineering discipline powers WeGuard, WeDaaS, WeSaaS, fleet systems, and customer-facing platforms.
Deliverables
- Product strategy and delivery roadmap
- UX/UI systems for web, mobile, and admin workflows
- API, microservice, and distributed-service implementation
- Quality automation and release readiness
Tech we use
- Next.js
- React
- iOS
- Node
- Go
- Kubernetes
02
Applied AI Agents
Agentic workflows for research, extraction, decision support, routing, and escalation, wired to real business tools with human checkpoints.
We design agent systems like production software: typed contracts, observable handoffs, retries, and auditable outcomes.
Deliverables
- Agent role design and state model
- Tool, API, and memory contracts
- Regression, adversarial, and shadow eval harness
- Guardrails, approvals, and fallback paths
Tech we use
- MCP
- A2A
- LangGraph
- tool calling
- state machines
03
Knowledge AI & RAG
RAG, semantic search, document intelligence, and knowledge graphs over the documents, data, and systems your business already owns.
Built for regulated workflows where the answer must cite evidence, not just sound confident.
Deliverables
- Ingestion and chunking strategy
- Retrieval quality evals
- Answer citations and source-grounded workflows
- Knowledge graph and metadata design
Tech we use
- Vector DBs
- embeddings
- reranking
- knowledge graphs
04
Model Tuning & MLOps
Fine-tuning, model selection, ML application delivery, evals, release pipelines, telemetry, and ongoing model operations.
AI launches only count when the team can measure quality, watch behavior, and improve the system after release.
Deliverables
- Model selection and fine-tuning plan
- Prompt, dataset, and evaluation harness
- Model registry and release process
- Latency, cost, drift, and safety observability
Tech we use
- Evals
- fine-tuning
- model routing
- OpenTelemetry
- CI/CD
05
Cloud Migration & Platforms
Migration from legacy and on-prem systems to cloud-native platforms, with architecture, automation, security, and operations built in.
We migrate systems without losing the business context, data flows, or operational controls that made them work.
Deliverables
- Cloud migration and modernization roadmap
- Kubernetes, IaC, and platform architecture
- API gateway, identity, and security boundaries
- FinOps, observability, and production runbooks
Tech we use
- AWS
- Kubernetes
- Terraform
- queues
- OpenTelemetry
06
Web, Mobile & Growth Systems
Marketing sites, iOS and web apps, growth platforms, analytics, integrations, and customer-facing systems built to convert and scale.
The same delivery team can build the application, the operating platform, and the acquisition paths around it.
Deliverables
- Marketing and product web applications
- Mobile app delivery and backend integrations
- Analytics, attribution, and growth experiments
- CRM, CMS, payment, and data integrations
Tech we use
- Next.js
- iOS
- Payload CMS
- HubSpot
- analytics
- SEO
Production operations
The system ships with the operating layer it needs.
We handle the production layer around modern products and model-powered systems: deployment, evaluation, observability, data pipelines, access controls, and incident response.
- Model and prompt release pipelines
- Evaluation suites before and after launch
- Vector, feature, and event data pipelines
- OpenTelemetry traces for agent workflows
- Kubernetes, cloud, and self-hosted operations
- Runbooks for drift, cost, latency, and safety incidents
The stack we run
From language runtimes to production AI, the tools we actually ship.
Not a logo wall for show — the toolchain our teams build and operate, grouped by where it does the work. Techniques and tools that ship no brand mark are labelled as such, never faked.
Product Engineering
- Go
- Rust
- TypeScript
- Node.js
- Kotlin
- Swift
- Kotlin Multiplatform
Applied AI Agents
- Model Context Protocol
- Claude Agent SDK
- OpenAI Agents SDK
- LangGraph
- LangSmith
- Langfuse
- Google ADK
- Pydantic AI
- Agent2Agent (A2A)
Model Fine-tuning
- Hugging Face
- LoRA
- QLoRA
- PEFT
- RLHF
- Mixture of Experts
- Unsloth
Evals & Quality
- OpenAI Evals
- Ragas
- DeepEval
- TruLens
- Inspect AI
MLOps
- MLflow
- Weights & Biases
- Ray
- Kubeflow
- DVC
- BentoML
Cloud Migration & Platforms
- AWS
- Azure
- Google Cloud
- Kubernetes
- Docker
- Terraform
- OpenTofu
- Helm
- Argo CD
- Apache Kafka
- PostgreSQL
- MongoDB
- OpenSearch
- Prometheus
- On-prem migrations
Web, Mobile & Growth
- React
- Next.js
- Tailwind CSS
- React Native
- Flutter
- GraphQL
- Payload CMS
- Mixpanel
- Google Analytics
- SEO
Bring us the workflow that has to work in production.
We will map the agentic system, governance boundary, and delivery plan before writing code.
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