You pay for power you don't use
Frontier models are priced for the hardest problems. Most production work (extraction, classification, support) doesn't need them, but you pay for them on every call.
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LAN Accelerator
The problem
Your AI bill is growing faster than the value it delivers
Most teams send every request, simple or complex, to the most expensive models on the market, served from some of the most expensive grids. The cost compounds with every customer you add.
Capacity can't keep up
New US datacenters are held up by permits, local opposition and grid queues. Scarce capacity keeps prices high and the roadmap in your provider's hands.
Energy is the new bottleneck
Power demand is outrunning generation. Every token you buy carries the cost of an overloaded, expensive grid.
The answer isn't a bigger model. It's a smaller one, trained for your exact job, running on clean, affordable power you can count on.
What we offer
Three ways to cut your AI costs. You choose the control.
From a fully managed model to software you run on your own hardware. Every option is OpenAI-compatible, so your code doesn't change.
Managed fine-tuning
You share the workload and a benchmark you trust. We fine-tune an open model until it matches, then host, monitor and keep it current. You get an OpenAI-compatible endpoint and a smaller bill.
- OpenAI-compatible — swap one line of code
- Models trained on your domain data
- Fully managed: hosting, scaling, monitoring and updates
- Private or licensed deployment for regulated teams
# Before
client = OpenAI(api_key="sk-...")
# After — same SDK, one line
client = OpenAI(
base_url="https://app.interdataresearch.ai/v1",
api_key="your-interdata-key",
)Self-serve
Give your developers one workspace to build bots, attach company knowledge, run evals and ship each one as an API, and to fine-tune small models straight from a CSV.
- Bots with prompt, model and parameters — each one is an endpoint
- Generated typed SDKs in TypeScript, JavaScript and Python
- Knowledge (RAG), evals and serverless functions
- Organizations, roles and per-user API keys
- Run it on your own hardware under a commercial license
1Upload data→
2Pick a base model→
3Set the benchmark→
4Fine-tune→
5Deploy
Instant model access
One endpoint for every model on the Interdata network, or deploy your own onto our nodes. Load balancing, automatic failover and a full audit log come standard.
- One API for every model on the network
- Health-checked nodes; failing ones leave rotation automatically
- Clean compute from Paraguay's hydro grid
DeepSeekQwenLlamaGemmaMistralGLMKimigpt-ossWhisper1-bit Bonsai
+ Your model
The Interdata suite
Replace a stack of AI subscriptions with one suite you control
The tools your teams already rely on (chat, voice, notebooks, fine-tuning), hosted on our network or licensed to run on your hardware. Familiar for your people; cheaper and auditable for your company.
Interdata Chat
ChatGPT · Claude · Gemini alternativeOne assistant for the whole company, grounded in your documents and connected to the tools your teams already use.
- Q&A over PDFs, Word, spreadsheets, code and images
- Web search, memory, custom instructions and projects
- Google Workspace, Microsoft 365, Slack, Notion, GitHub and Dropbox
- Hands-free voice with automatic English/Spanish detection
Interdata Voice
Speech-to-text · text-to-speech · callsVoice agents and transcription that sound local in English and Latin-American Spanish, handling scheduling, collections and follow-ups around the clock.
- Multilingual transcription with Whisper
- Streaming speech — first audio in under a second
- Native Latin-American voices and voice cloning
- Outbound call agents: scheduling, collections and sales
Interdata Playground
OpenAI Playground · GPTs alternativeTurn a prompt into a production API in minutes, with knowledge, evals and typed SDKs built in.
- OpenAI-compatible endpoint plus generated typed SDKs
- Knowledge (RAG), evals and AI-assisted prompt drafting
- Serverless functions, PDF and ID extraction
- Per-model usage dashboards and per-user keys
Interdata Distil
Fine-tuning from a CSVUpload a CSV, get a smaller model trained on your task, checked against an honest baseline before it ships.
- Data-quality checks: duplicates, conflicting labels, personal data
- Verified synthetic data when your examples are thin
- LoRA fine-tuning scored against an honest baseline
- Every step exportable as a reproducible notebook
Interdata Design
Conversational web designChange web designs by describing what you want. Every edit is versioned, reviewable and reversible.
- Select an element and ask for the change
- Version history, branches and ZIP export
- Team comment threads and shareable links
- Organizations with roles and invite-only access
Interdata Lab
Colab · Kaggle alternativeNotebooks where comments become code, running on your own GPUs with kernels that survive closing the browser.
- Comments are prompts: AI writes the code
- Persistent kernels that survive closing the browser
- Connect any GPU box or existing Jupyter server
Capabilities
The AI capabilities your business actually uses
Everything you pay closed providers for, on open models you can fine-tune, audit and host wherever your data needs to live.
Voice that sounds local
Transcription, streaming text-to-speech and real-time duplex calls with voice-activity detection and noise suppression. Native Latin-American Spanish voices, voice cloning from a sample, and automatic routing by language.
- Call centers, collections, scheduling, IVR
- English and Latin-American Spanish
Agent · es-LAHola, le llamo de la clínica para confirmar su cita del jueves a las 10:00. ¿Le queda bien?
CallerSí, perfecto. ¿Puedo pasarla a las 11?
Illustrative example
From documents to structured data
Extract fields from invoices, contracts, IDs and scanned PDFs into strict JSON, ready for your CRM or ERP. Vision models for images, plus Q&A over spreadsheets, Word files and code.
- KYC, mortgage, legal, accounts payable
- Strict schema, deterministic, no prose
{
"vendor": "Acme Corp",
"invoice": "#4471",
"date": "2026-03-12",
"line_items": 3,
"currency": "USD",
"flags": ["missing_tax_id"]
}Illustrative example
Research with sources
Self-hosted web search and page reading, combined with your own documents. Cited answers, without sending your queries to a third-party search engine.
- Market intelligence, due diligence, compliance
- Per-bot RAG over your knowledge base
YouSummarize this quarter's regulatory changes affecting our lending products.
InterdataFound 4 relevant changes. [1] Central-bank circular… [2] New rate-cap rule… Sources: 6 web pages, 2 internal documents.
Illustrative example
Models that reason
Open reasoning models such as DeepSeek and Qwen, with the reasoning shown separately from the answer — so your team can audit how each decision was reached.
- Analysis, planning, triage and scoring
- LLM-judge evals and automatic prompt improvement
Thinking…1) This is a classification + routing task. 2) A model fine-tuned on historical tickets covers most categories. 3) Escalate only ambiguous cases.
AnswerRecommendation: fine-tune a small model and run a 2-week parallel evaluation against your current provider.
Illustrative example
A model trained for your job
Every conversation can become training data. We curate the data, hold out an honest test set, fine-tune with LoRA and compare against a baseline before anything ships.
- Smaller, faster, cheaper-to-run models
- Your data and your weights stay yours
- Columns
- question → answer
- Quality
- 2 duplicates · 0 conflicts · no PII
- Test set
- held out before cleanup
- Training
- LoRA · Qwen
- Result
- scored vs. baseline → ready to deploy
Illustrative example
Agents that take action
Bots that call tools (MCP), serverless functions in Python, JavaScript or PHP inside a no-internet sandbox, and OAuth connectors into your company's mail, calendar and documents.
- Ticket routing, lead qualification, reservations
- Mail tools only write drafts — they never send
{
"intent": "billing_dispute",
"team": "finance",
"urgency": 4,
"action": "create_ticket",
"draft_reply": true
}Illustrative example
The alternative
The same capabilities. A lower bill. Your rules.
Open models have caught up with closed frontier models. Fine-tuned on your task, they perform like the flagship, and the weights belong to you.
| OpenAI · Anthropic · Google | Interdata | |
|---|---|---|
| Cost | Frontier per-token pricing, for every task | Right-sized models — quoted to your workload |
| Your data | Processed in the provider's cloud | On our network, in-region, or on your own infrastructure |
| Models | Only the provider's menu | DeepSeek, Qwen, Llama, Gemma, Mistral — or your own |
| Customization | Prompts on a generic model | Fine-tuned on your data; you own the weights |
| Lock-in | Price changes and deprecations on their schedule | OpenAI-compatible API — leave any time |
| Energy | Global-average grid | Paraguay's hydro grid, ~20× cleaner |
Replacing OpenAI is one line of code
from openai import OpenAI
client = OpenAI(
base_url="https://app.interdataresearch.ai/v1", # the only line that changes
api_key="your-interdata-key",
)
client.chat.completions.create(
model="your-fine-tuned-model",
messages=[{"role": "user", "content": "Triage this ticket..."}],
)Your existing code, SDKs and integrations keep working. Only where they point changes — and who runs the model.
Enterprise-ready
Built for teams that answer to auditors
We already serve a regulated bank. These are the controls that come standard.
Data residency
Run on our network, on Paraguayan nodes, or entirely on your own infrastructure. You decide where your data lives.
Keys & access
API keys hashed with argon2id and shown only once. Invite-only accounts, organizations and roles.
Full audit trail
Every request is logged with model, latency and status, with a log browser for your team.
Sandboxed code
Functions run in read-only containers with no internet access and no model credentials.
High availability
Load balancing across nodes with health checks and automatic failover.
Carbon reporting
~25 g CO₂ per kWh on Paraguay's grid: clean compute that holds up in a Scope 2 and 3 audit.
Pricing
Pricing built around your workload
Every workload, volume and quality bar is different, so we quote each deployment individually — managed, self-serve or licensed. Want to run Interdata on your own hardware? We sell it under a commercial license. For license pricing or any other pricing question, book a 30-minute call.
- A review of your current AI usage
- Model and deployment recommendation
- A pilot on a model fine-tuned to your data
- Licenses to run on your own hardware
- SLAs, security review and onboarding
Clean compute · Powered by Paraguay
Cleaner, cheaper compute from Paraguay's hydro grid
Interdata is a network of interconnected macro-datacenters — several running on Itaipú's hydro power, one of the cleanest grids on Earth. Want to see how the network is built and where it's headed?
See how Interdata works →Find out what your AI should really cost
Bring your current workloads and invoices. In 30 minutes we'll show you what can move to open models, where it would run and what you'd stop paying for.