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Best model for each job
We compare OpenAI, Claude and Gemini on your tasks and use each where it's strongest — often more than one in the same product.
Calling a model API takes an afternoon. Shipping an AI feature customers trust takes engineering. Our AI API integration services bring OpenAI, Anthropic Claude and Google Gemini into your product and back office properly — with structured outputs, tool use, retrieval over your data and the safeguards production needs.
We design the prompts and agent logic, connect models to your databases and APIs, and build evaluation suites so quality is measured rather than guessed. Guardrails, rate-limit handling, cost tracking and automatic failover between providers keep the feature running when a vendor has a bad day. You see a free working mockup on your own data first, then we deliver the production build at a fixed price.
The problem
A prototype that works on five examples often fails on the five-hundredth: malformed outputs, hallucinated facts, timeouts, surprise bills. Without evaluation and fallbacks, every model update or provider outage becomes a production incident.
Why it pays
Production-grade integration of OpenAI, Claude and Gemini — agents, tool use, evals, guardrails and multi-provider failover.
We compare OpenAI, Claude and Gemini on your tasks and use each where it's strongest — often more than one in the same product.
Models call your APIs, query your database and take actions through well-defined tools, with permissions and human approval where needed.
Evaluation suites built from real examples score every prompt or model change before it reaches users.
Schema-validated responses, content guardrails and grounding checks keep outputs usable and on-brand.
Requests reroute to an alternative provider automatically during outages or rate limiting.
Per-feature tracking of tokens, spend and response times from day one.
How we deliver
Every engagement starts with a free working mockup, then a fixed-price build — no hourly drift, no surprises.
We define the job the AI must do, the data and tools it needs, and how success will be measured.
A free prototype on your own data, comparing models so you can see real outputs before committing.
Integration, evaluation suite, guardrails, failover and monitoring engineered into your stack.
Staged rollout with metrics, then continued tuning as models and requirements evolve.
Spec sheet
Fixed scope, agreed up front. You own everything we deliver — code, models, assets and documentation.
Use cases
Patterns we build again and again — adapted to your data, your tools and your customers.
An assistant that understands your app's data and can perform actions for the user through your existing API.
Extract structured data from invoices, contracts and forms with schema validation and human review for low-confidence cases.
Product discovery and order support grounded in live catalogue and inventory data.
Agents that draft reports, reconcile records or update CRMs across systems with approval steps.
Models & tools
Model-agnostic by design: we pick per task and switch when something better ships.
Packages
Fixed price, quoted after a short scoping call — and only after you've seen the free mockup.
Design, build and ship a single AI feature into your product or workflow.
1 feature live
A shared AI layer powering multiple features, agents and internal tools.
Multi-feature AI layer
FAQ
Still curious? Ask AURA, or email us and a human replies within one business day.
Each leads on different tasks and the rankings change with every release. We benchmark them on your actual use case and often combine them — for example one for reasoning-heavy steps and another for fast, high-volume calls.
Model selection, prompt and agent design, integration with your systems, retrieval over your data, evaluation, guardrails, failover and monitoring — everything needed to move from a demo to a dependable production feature.
We ground answers in your data with retrieval, validate outputs against schemas, add checks for unsupported claims, and route low-confidence cases to a human. Evaluation suites track hallucination rates over time.
We build multi-provider routing so requests automatically fail over to an equivalent model from another vendor, keeping the feature available.
Yes. We work with Node.js, Python, Next.js and most common databases and SaaS APIs, and fit into your existing auth, logging and deployment pipelines.
We use provider business/API terms that don't train on your data by default and configure retention settings accordingly. For stricter needs we can use self-hosted open models instead.
After a free working mockup, we quote a fixed price for the production build. Model usage is billed by the providers directly to your account.
Keep exploring
Audit your OpenAI, Claude and Gemini spend and cut it with routing, caching, batching and open-source offload — quality held constant.
Custom GPT, Claude or Gemini chatbots for websites and apps — on-brand, grounded in your content and able to take actions.
Chat with your company documents: cited, permission-aware answers from Drive, SharePoint, Notion and more — private by design.
Run Llama, Mistral, DeepSeek or Qwen on your own infrastructure behind an OpenAI-compatible API — and stop paying per token.
Tell us the outcome you need. We build a working mockup of the render, workflow or agent — at zero cost — so you judge results, not pitch decks.