Rising API costs
Frontier providers keep raising prices. Inference is now a recurring cost that grows with every customer you serve.
Interdata Research
Enterprise AI without the markup.
Powered by Paraguay's clean hydro gridDesign development and research of AI software.
One line of code to switch from the OpenAI SDK · English & Spanish · No vendor lock-in
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LAN Accelerator
The problem
AI bills have quietly become one of the biggest lines in the budget
Capacity is constrained, prices are rising, and the grid that serves it is among the most expensive in the world.
Stalled infrastructure
New datacenter construction in the US is stalling under permitting, local opposition and interconnection queues.
An energy crunch
Demand is outrunning generation. Power shortages and price spikes are now a global constraint on AI.
Most AI tasks don't need the most powerful model on the market. They need one trained for that specific job — running on clean, affordable power.
What we offer
Three ways to run AI for less
Pick the level of control your team needs — from a fully managed service to licensed software you run yourself.
Managed fine-tuning
Share your workload and data. We fine-tune an open model to match your current benchmark, host it on our infrastructure, and hand you an OpenAI-compatible endpoint.
- 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
A visual workspace to build bots, attach knowledge, evaluate them and call them from your code — plus fine-tune small models from a plain 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
Call any model on the Interdata network through a single endpoint — or deploy your own model onto our nodes. Load balancing, automatic failover and full audit logging built in.
- 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
Everything your team uses from OpenAI, Anthropic and Google — in one place
Production-ready applications: use them hosted on our network, or run them on your own hardware under a commercial license. Your teams get familiar tools; your company gets control and a lower bill.
Interdata Chat
ChatGPT · Claude · Gemini alternativeA company-wide assistant, connected to the tools your team already uses.
- 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 · callsReal-time voice agents and transcription in English and Latin-American Spanish.
- 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 alternativeBuild LLM bots and call them from your own code in minutes.
- 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 CSVDrop in a CSV and get a small model fine-tuned on your task — no ML background needed.
- 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 designEdit web designs by chatting with AI — every change saved as a version.
- 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 alternativeData-science notebooks whose kernels run on your own GPUs, anywhere.
- 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
The same capabilities you pay closed providers for — on open models you can fine-tune, audit and host wherever you want.
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
A lower-cost alternative to OpenAI, Anthropic and Google
The gap between closed frontier models and open ones has all but closed. Fine-tuned on your task, an open model performs like the flagship — and it's yours.
| 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 →Stop paying frontier prices for work that doesn't need them
Tell us what your team runs today. In 30 minutes we'll show you what can move to open models, where it would run, and what your proposal would look like.