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Backend as a Service

Build. Deploy. Monitor. Your VPC-first backend for AI and computer vision — shipped with APIs, jobs, data, and observability so you can launch fast and own it all.

Backend as a Service

Backend as a Service

Why teams choose us

Why teams choose our BaaS

Launch fast with production templates for auth, APIs, storage, and events

Scale from prototype to production without cost surprises

Secure by default with secrets, roles, and audit logs

Built for AI and computer vision with model-chaining and foundation-model adapters

Backend as a Service

Discover

Goals, constraints, success metrics

Blueprint

System design, data model, cost plan

Build

Templates + pipelines wired to your use cases

Launch

Cutover plan, dashboards, alerts

Handoff

Docs, training, and optional managed SRE

Backend as a Service

Workflow Studio optional

A visual way to design pipelines that chain models, classic CV ops, and business rules. We can integrate a best-of-breed editor or ship a tailored builder in your repo. Supports condition/expression style logic and sinks like S3, webhooks, and alerts.

Ingest & I/O connectors

Uploads, REST, webhooks, RTSP/video streams, and batch jobs. Outputs to APIs, queues, databases, S3, and downstream apps.

Block library

Detection/segmentation/classification, classical CV steps, OCR/VLMs, post-processing, and publish/alert actions. Bring your own models or wire to hosted endpoints.

Monitoring & Alerts

Built-in logs, metrics, and alerts for pipeline health. Supports integration with tools like Grafana.

Backend as a Service

Cloud API or Edge

Ship as a managed API in your cloud or as Docker containers for on-prem/edge devices; internet optional. We design once and deploy anywhere, including GPU nodes where needed.

Model-chaining & adapters

Chain multiple models in one pipeline and tap foundation models where it helps. Keep data in your VPC.

Batch + realtime

Process large image/video sets with batch jobs or respond to live events and streams.

Backend as a Service

Operate and Improve with Confidence

From monitoring metrics to resolving edge cases and rolling out new features, we give you the tools to keep your systems reliable, adaptable, and continuously improving

Metrics, traces, and drift signals

Dashboards for latency, throughput, costs, and model outcomes, plus alerts for failures and regressions.

Human-in-the-loop hooks

Queue edge cases for review and route feedback back to training datasets or labeling tools.

Iteration loop

A B rollout for models and features. Shadow tests and canaries before full release

Backend as a Service

See What We’ve Built

  • REST and GraphQL endpoints with keys and rate limits

  • Signed uploads + CDN, queues, schedulers, and webhooks

  • Clean repo, OpenAPI spec, and Postman collection

  • MongoDB Atlas schemas, indexes, backups

  • Vector search and semantic retrieval

  • Analytics tables for product and pipeline KPIs

  • BYO models or hosted endpoints wired behind one interface

  • Classic CV blocks + OCR/VLM blocks

  • Feature flags and A/B rollout for models

  • IAM roles, tenant isolation, KMS encryption

  • IaC with Terraform, CI/CD with preview envs

  • Incident runbooks and DR targets

Backend as a Service

What you get on day one

  • Production backend in your accounts and repos

  • Architecture diagram + OpenAPI spec

  • IaC code, env files, and CI/CD

  • Runbooks and cost/latency dashboards

  • Security baseline and access map

Backend as a Service

Questions

What tech stack do you use?

We build with React.js, Node.js, MongoDB, AWS, GPT-4, Claude, Ollama, and more. Every project gets a custom blend for speed, scale, and flexibility.

How fast can you launch my app?

Most MVPs ship in weeks, not months. Our modular code and proven process mean you get to market—fast, without cutting corners.

Is your code scalable and secure?

Yes! We use clean APIs, cloud hosting, and best practices for security. Your app is built to grow with you—no tech debt, no headaches.

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