Production infrastructure for domain AI

Production AI.Grounded in your domain.

Connect proprietary knowledge, control context, and deploy cited agents and workflows through the console, APIs, or SDKs—in your cloud or ours.

01

Connect

Bring documents, URLs, or raw text into an observable knowledge workflow.

02

Ground

Control context with hybrid retrieval, reranking, filters, and evidence.

03

Deploy

Run cited agents and workflows through the console, APIs, or official SDKs.

One connected lifecycle

From knowledge to production

Collections

Your document collections and knowledge bases

Create collection

legal_contracts

Ready

Master service agreements, NDAs, and procurement terms.

247 docs

nda_library

Ready

92 docs

vendor_agreements

Ready

137 docs

compliance_policies

Ready

58 docs

Add documents, URLs, or raw text and follow them through ingestion and indexing.

Customers & partners

Built alongside the teams using it.

Gabriel Tick, CEOApplied AI R&D partner

Our teams explored methods for tackling some of the industry's toughest data challenges:

  • Extraction reliability across highly complex and variable document layouts.
  • AI retrieval that accurately navigates dense medical content.
  • Rule-mapping that translates complex business content into clearer operational guidelines.

Opifiny strictly deploys AI capabilities within Opifiny-controlled infrastructure.

Bruno Machado, CEOPartner
“With Knowledge², our customers go from scoping to a working proof-of-concept in minutes, not weeks. Their technical and business teams move in lockstep instead of stalling on infrastructure. The ability to deploy within regions that have strict data residency requirements removes the last blocker to adoption.”
Murad Alaev, CEOPartner
“Knowledge² lets us swap the underlying LLM on any agent without touching the retrieval layer or application code. We benchmark models side by side on real customer data and ship the best fit, per workflow, in the same afternoon.”

For developers

Prototype with real knowledge, not mock data.

Connect real source material, generate a grounded answer, inspect the evidence, and decide whether it is ready to ship.

Create a corpus, ingest documents, build indexes, and search.

1# pip install knowledge22from sdk import Knowledge234client = Knowledge2(api_key="k2_...")5project = client.create_project("Site Expert")6corpus = client.create_corpus(project["id"], "Product Docs")78client.upload_documents_batch_and_wait(9    corpus["id"],10    [11        {12            "source_uri": "doc://security",13            "raw_text": "Rotate API keys from Settings > Security.",14        },15    ],16    auto_index=False,17)18client.sync_indexes(corpus["id"], wait=True)1920results = client.search(21    corpus["id"],22    "How do I rotate an API key?",23    top_k=5,24    return_config={"include_text": True},25)26print(results["results"])

Trust starts before the answer.

Knowledge² controls what the model can see, keeps the supporting evidence visible, and gives teams a practical path to deployment.

01

Evidence travels with the result

  • Outputs carry passage-level source references, so reviewers can verify an answer before acting.
Answer with passage-level citations and source references
02

Changes stay observable

  • Ingestion and indexing jobs expose status, so operators know when updated content is ready.
Content feeds with scheduled monitoring and update timestamps
03

Fit the model to the task

  • Configure the model per agent without changing the retrieval layer or application interface.
Agent configuration with model selection and API endpoint

Pricing

Start free. Scale into production.

Free

$0/ month

For developers evaluating grounded retrieval and agents.

  • 5,000 queries / month
  • 500 documents
  • 3 collections
  • 2 agents
  • Community support
Get started free
Save 3 months free

Pro

$249/ month

$187 / mo, billed annually

For teams shipping domain-grounded AI workflows.

  • 100,000 queries / month included
  • 50,000 documents
  • 20 collections
  • Unlimited agents
  • Adaptive reranking
  • Retrieval tuning and evaluation
  • Pipelines and webhooks
  • $0.80 / 1K queries overage
  • Priority support
Start Pro trial

Enterprise

Custom

For private deployment, enterprise controls, and rollout support.

  • Custom query and document limits
  • Private VPC or on-prem deployment
  • Graph RAG and fine-tuning
  • A2A (Agent-to-Agent) protocol
  • SSO and audit logging
  • Forward Deployed Engineer embedded with your team
  • Custom SLA
  • Premium support with dedicated CSM
Talk to our team

An AI that shows its work.

Cited answers. Controlled context. A clear path from evaluation to production.