Now in private beta

Small Language Model as a Service — Enterprise AI

Your enterprise AI.
Your data.
Your instance.

altern8ai.com deploys Altern8 — a purpose-built small language model — entirely within your own infrastructure. No data leaves your perimeter. No shared model. No vendor lock-in.

Request Deployment ↗ See How It Works
100% Data stays yours
3× Faster than LLM APIs
90% Cost reduction vs GPT-4
Context Memory Layer Attention Layer Core Processing Layer CORE LAYER REASONING LAYER

How Altern8 Works

A neural architecture
engineered for enterprise

Altern8 is built on a proprietary three-layer neural architecture where each layer serves a distinct purpose — global information propagation, precise contextual reasoning, and persistent long-range memory. The result is a more efficient, more accurate, and more capable model for demanding enterprise workloads.

LAYER I · GLOBAL PROCESSING
Full-Context Information Propagation
Every token in your document attends to every other simultaneously. No information is siloed — the model builds a complete picture of your content before generating a single word of output.
↓
LAYER II · PRECISION REASONING
Causal Attention & Identity Preservation
Each piece of information retains its distinct identity through the reasoning process. Prevents hallucination at the architectural level — not through post-processing filters or guardrails.
↓
LAYER III · PERSISTENT MEMORY
Long-Range Context Memory
A persistent memory layer that accumulates enterprise context across sessions. The model builds a deep understanding of your organisation's documents, workflows, and domain knowledge over time — without reprocessing them.
Three-layer architecture · proprietary · purpose-built for enterprise
⚡
2B Parameters
Large variant runs on a single A100 GPU. Small variant on a T4. Right-sized for enterprise.
◎
8K Context
Full-length contracts, reports, codebases. Persistent memory extends effective context across sessions.
⬡
Per-Tenant Adapters
LoRA fine-tuning on your domain data. Adapter weights are tiny, isolated, yours alone.
◈
OpenAI-Compatible
Drop-in replacement. Change one line of code. Your existing AI stack works immediately.
∞
Persistent Memory
Session memory persists across API calls. The model builds enterprise context over time without re-sending documents.
⚙
REST + Python SDK
/v1/chat/completions, /v1/embeddings, /v1/completions. Full streaming support.
Quick integration
# Drop-in replacement for OpenAI
from altern8 import Altern8Client

client = Altern8Client(
  api_key="your-enterprise-key",
  base_url="https://your.instance.internal",
)

response = client.chat.completions.create(
  messages=[{"role": "user",
             "content": "Analyse this contract..."}],
  preserve_session=True,  # persistent context memory
)

Data Security & Privacy

Your data never leaves
your perimeter. Ever.

When you send data to a large language model API — ChatGPT, Microsoft Copilot, Google Gemini — you lose control of it. Altern8 runs entirely inside your infrastructure — on-premise or your own dedicated cloud VPC. No data egress. No training on your confidential data. No shared model weights. GDPR, HIPAA, SOC2, and ISO27001 compliance is architectural, not contractual.

Large Language Model APIs
(OpenAI, Gemini, etc.)
altern8ai.com — Altern8
✕ Your data is sent to and processed on third-party servers you do not control
✓ Model runs inside your VPC or on-premise datacenter. Zero data egress
✕ Shared model infrastructure — your queries run alongside other companies' data
✓ Dedicated instance per enterprise. Completely isolated compute and storage
✕ Vendor may use your data for model training (check ToS carefully)
✓ Your adapter fine-tuning data never leaves your environment. We cannot access it
✕ API outages mean your AI workflows stop. 99.9% SLA still means 8+ hours downtime/year
✓ On-premise deployment: no external dependency. Works fully offline and air-gapped
✕ Cost scales linearly with usage — enterprise workloads cost $50K–$500K/year in API fees
✓ Fixed infrastructure cost. Run unlimited queries. 90% cost reduction at scale
✕ Compliance: GDPR, HIPAA, SOC2, ISO27001 all require data residency you cannot guarantee
✓ Data never leaves your jurisdiction. Compliance is architectural, not contractual
✕ Model behaviour can change without notice — updates, deprecations, prompt caching
✓ You control the model version. Behaviour is reproducible and auditable
✕ Context window shared across requests — no persistent memory between sessions
✓ Session memory persists across API calls — the model builds your enterprise context over time

Enterprise Use Cases

What your teams can do
with a private AI

Legal & Contract Intelligence

Review, summarise, and compare contracts. Flag risk clauses. Extract obligations. Analyse entire NDA libraries in minutes — without sending a single document outside your firewall.

contract review AI risk flagging due diligence

Clinical & Medical Records

Summarise patient records. Assist with clinical documentation. Support diagnosis coding. HIPAA compliance is architectural — data never leaves your hospital network.

HIPAA compliant AI clinical NLP ICD coding

Financial Analysis

Analyse earnings reports, model financial narratives, generate investment memos, summarise regulatory filings. Your proprietary trading data stays proprietary.

earnings analysis AI regulatory filings risk reports

Internal Code Assistant

Fine-tune on your private codebase. Generate, review, and document code that knows your APIs, your conventions, and your architecture — without leaking IP to GitHub Copilot.

private code AI code review documentation

HR & Policy Intelligence

Answer employee policy questions. Screen CVs against role requirements. Generate job descriptions. Summarise performance reviews. Built for sensitive HR data.

HR AI private CV screening HR workflows

Manufacturing & Operations

Analyse maintenance logs, optimise supply chain decisions, generate SOPs from engineering specs. Deploy on-premise at the plant floor with no internet dependency — fully air-gapped.

predictive maintenance AI SOP generation air-gapped AI

Proven Impact

Productivity, efficiency,
and cost — all improved

90%
Cost reduction
vs GPT-4 API at enterprise scale. Fixed infrastructure cost, unlimited queries.
3×
Faster response
On-premise inference eliminates network latency to external APIs.
100%
Data sovereignty
Your data never touches any network outside your control. Architectural compliance.
72h
Deployment time
From contract signing to live API endpoint on your infrastructure.

Deployment Process

Live in 72 hours

01
Architecture review
Our team reviews your infrastructure — cloud VPC, on-premise datacenter, or hybrid. We identify the right model variant and deployment topology.
02
Containerised deployment
We deliver signed Docker containers and Kubernetes manifests. Deployment runs entirely inside your environment. We never have access to your infrastructure.
03
Domain fine-tuning
Your team runs LoRA fine-tuning on your private data. Adapter weights are tiny (tens of MB) and stored in your own storage. We provide the training scripts.
04
API keys & go live
You issue API keys to your teams via the admin panel. Existing applications connect via the OpenAI-compatible endpoint. Monitor via your own dashboards.

Deployment Tiers

Choose your scale

One-time deployment fee plus optional annual support. No per-token pricing. No usage limits. Your infrastructure, your costs.

Startup
Launch
For startups and small teams building AI products on sovereign infrastructure.
$4,900/deployment
+ $990/year optional support
  • Altern8 Small (130M params)
  • Single-server Docker deployment
  • Up to 5 tenant API keys
  • 2K context window
  • LoRA fine-tuning scripts included
  • Python & REST SDK
  • Email support (48h response)
Contact Us
Most Popular
SMB / Mid-Market
Enterprise
For mid-market companies deploying AI across teams and departments.
$24,900/deployment
+ $4,900/year support & updates
  • Altern8 Medium (500M params)
  • Kubernetes deployment (HA, auto-scale)
  • Unlimited tenant API keys
  • 4K context + persistent session memory
  • Domain fine-tuning pipeline
  • Monitoring & observability stack
  • Dedicated Slack support channel
  • SLA: 4h response, 99.5% uptime
Get Deployed
Large Enterprise
Sovereign
For large enterprises, regulated industries, and government requiring maximum capability and control.
Custom
Quoted per deployment scope
  • Altern8 Large (2B params)
  • Multi-region / air-gapped deployment
  • Unlimited tenants with full isolation
  • 8K context + unlimited persistent memory
  • White-glove fine-tuning service
  • Source code escrow available
  • Dedicated on-site support option
  • Custom SLA (99.9%+ uptime)
  • Compliance documentation (SOC2, ISO27001)
Request Quote
All tiers include: full model weights, deployment code, SDK, and 30-day free trial period.
We do not retain access to your deployment or data after handover.

Start the conversation

Ready to deploy
Altern8 AI?

Tell us about your infrastructure and use case. Our team will respond within 24 hours with a deployment plan and technical architecture recommendation.

🔒
Complete privacy This enquiry form is the only data we ever collect. We do not track you.
⚡
24-hour response A human reads every enquiry. You will speak with our technical team, not a sales bot.
◎
No commitment We'll walk you through the architecture and answer every question before any agreement.
🛡
Free 30-day trial All deployments include a 30-day full-access trial period. Cancel with no penalty.
Request Deployment
Complete the form and we'll be in touch within 24 hours.

Both checkboxes required. We do not sell or share your data.

✦
Request received
Thank you. A member of our technical team will contact you within 24 hours to discuss your deployment requirements.

In the meantime, explore the architecture docs or review our security overview.

Frequently Asked Questions

Everything enterprises
need to know

A small language model (SLM) is a compact AI language model — typically 100M to 3B parameters — designed to run on standard enterprise hardware rather than massive shared cloud infrastructure. Unlike large language models (LLMs) such as GPT-4 or Claude, SLMs can be deployed entirely within your own servers or private cloud VPC. Altern8 is an SLM optimised for enterprise tasks: document analysis, summarisation, Q&A, code assistance, and knowledge management — with complete data privacy.

Yes. Altern8 is an enterprise-grade private AI that replaces external AI APIs like ChatGPT, Microsoft Copilot, or Google Gemini for internal business use. Unlike those services, Altern8 runs entirely inside your own infrastructure — on-premise or in your dedicated cloud VPC — so your confidential business data never reaches any third-party server. It is fully OpenAI API-compatible, so existing integrations work without code changes.

Altern8 is deployed entirely inside your infrastructure. All prompts, responses, and fine-tuning data remain within your network perimeter at all times — there is no data egress to external servers. This makes compliance with GDPR, HIPAA, SOC2, and ISO27001 architectural rather than contractual: the data physically cannot leave your environment. Data residency is fully guaranteed, which is impossible with shared LLM APIs.

Sending enterprise data to external AI APIs introduces significant risks: confidential data leaving your legal jurisdiction; data potentially used for model training (check terms of service carefully); shared infrastructure with no physical data isolation; API outages disrupting your AI-dependent workflows; inability to guarantee data residency for GDPR or HIPAA; and loss of control over model behaviour due to provider-side updates. Altern8 eliminates all of these by running inside your own infrastructure.

Yes. Altern8 supports fully air-gapped, offline on-premise deployment. Once deployed, the system requires no internet connectivity whatsoever. This makes it suitable for defence, government classified environments, financial institutions with strict network isolation requirements, and manufacturing plant floors with no external network access.

Altern8 is deployed for a one-time infrastructure fee starting at $4,900 for startups, with zero per-token or per-query charges thereafter. Enterprises running high volumes of AI queries — which is typical for document processing, code assistance, or customer service automation — typically reduce AI costs by 90% or more compared to GPT-4 API pricing. Once deployed, you run unlimited queries at no additional API cost.

A standard Altern8 deployment takes 72 hours from contract signing to a live API endpoint inside your environment. The process has four stages: technical architecture review of your infrastructure; delivery of signed Docker containers and Kubernetes manifests deployed entirely by your team; optional domain fine-tuning on your private data; and API key provisioning for your users. We never require access to your infrastructure or data.

Yes. Altern8 supports per-tenant LoRA (Low-Rank Adaptation) fine-tuning. You train a small adapter on your domain-specific documents — contracts, clinical notes, financial reports, internal code, policy documents — and the model learns your terminology and processes. The adapter weights are tiny (tens of MB), stored entirely within your environment, never shared with other tenants or with Altern8. Your fine-tuning data never leaves your infrastructure.