Context as a Service
Your business data, connected and ready for approved agents. Keep ownership of the knowledge that makes your business yours.
Your data. Your agents.
Cirql in between.
Cirql sits between your company knowledge and the AI tools that use it. Keep a lasting context layer while approved agents get the information they need.
Connect your systems. Upload your files. Bring years of history. We organize the information and map how your business actually fits together.
We connect your agreed sources and bring in their records, keeping track of where each fact came from.
Owns pump P-04
Last visit: 7 months ago
Service every 6 months
Coordinates service visits
Illustrative records. The same information follows every step.
Customers, equipment, service history, and business rules get a shared structure. This is the ontology: the way your business defines its information.
Owns pump P-04
Last visit: 7 months ago
Service every 6 months
Coordinates service visits
Illustrative records. The same information follows every step.
A context graph is a map of your business: the people, things, and work involved, plus the connections between them.
Illustrative records. The same information follows every step.
An approved agent asks a question. Cirql retrieves relevant records and relationships so it can reason from your company knowledge.
“Is Harrison’s pump due for service?”
Pump P-04 was serviced 7 months ago. Its agreement calls for service every 6 months. Jamie coordinates visits for Harrison Packaging.
Illustrative records. The same information follows every step.
Ingestion builds the foundation. Embeddings make meaning searchable. The graph connects the business behind the records.
We connect the sources you approve, import historical records, and track new or changed data. We parse files, normalize fields, identify duplicates, and retain source references. Your team helps validate ambiguous records and business rules.
We split longer documents into useful passages and create embeddings: numerical representations of their meaning. This lets a question about “late deliveries” find relevant notes about “shipping delays.” The original text and its source stay linked to each passage.
An ontology defines the kinds of things in your business: customers, orders, assets, people, and rules. The graph links the actual records: this customer owns this pump, covered by this agreement, serviced by this technician. AI can follow those relationships instead of guessing them.
The knowledge stays in a managed database outside the chat, from a small file collection to years of operational history. Exact search, meaning-based search, and graph traversal retrieve relevant evidence for each task. The agent can request more as it works; the model’s individual context window still applies.
We scope access permissions, storage, source coverage, and refresh schedules with you. Approved agents retrieve only the context their integration is allowed to access. Source limitations, changes, and deletions need defined handling; sync freshness is part of the setup.
AI should be able to work with more than the files you can fit into a chat. Cirql keeps a persistent knowledge base and finds the relevant evidence as an agent works.
Years of records, documents, conversations, and team knowledge.
Stored outside the conversationUsed together to retrieve relevant evidence.
Customer: Harrison Packaging
Equipment record · ERPExact search anchors the question to the right customer, order, or piece of equipment.
“Routine service is scheduled at six-month intervals.”
Service agreement · documentA question about a pump being “due” can find a document about “preventive maintenance,” even when the wording differs.
Harrison → P-04 → last visit → service interval
Customer + equipment + service graphThe graph connects the equipment to its owner, service records, agreement, and the person who can arrange the next visit.
Context the agent can reason with.
It can request more as the question develops.
Connect your own agent or let us build one. Compatible tools request company knowledge through an API or MCP connection.
“Find overdue service and prepare follow-ups.”
Cirql checks access and returns equipment, agreements, contacts, and source evidence.
The agent compares records, asks for missing context, and drafts its recommendation.
Your team reviews the evidence. Connected action tools carry out approved changes.
The next tool starts ahead. A service assistant, quote follow-up tool, and purchasing agent can reuse the same customer records, relationships, and access rules.
The knowledge base can be much larger than a single conversation. Each model still has its normal context limit; an agent retrieves more information when it needs it.
“Who’s due for service?” “What’s holding up revenue?” “Where are we doing the same work twice?” Start with a question. Turn the answer into a workflow.
Harrison owns pump P-04.
Last visit: 7 months ago.
A visit every 6 months.
P-04 is one month past its agreed service interval. Jamie is the contact to arrange the visit.
Northstar quote Q-218 is open.
The customer asked about lead time.
Alex sent the quote 12 days ago.
Alex can follow up on Q-218 with an answer to the lead-time question, using the quote and conversation together.
20 orders arrive each week.
Re-entry takes about 10 minutes per order.
Details are copied from email into two systems.
20 orders × 10 minutes = 3 hours 20 minutes of reported weekly re-entry time. We validate that baseline with your team.
Reported task time is an illustrative starting point, not a claim of achieved savings.
We learn through conversations, workflow walkthroughs, and an assessment we developed to capture how work actually gets done.
Explore our assessment“Where do you enter the same information more than once?”
“We copy each order from email into accounting and the delivery sheet.”
A workflow to measure, then a clear improvement to evaluate: enter the order once.
Tell us what you want to connect. Your initial intake and data plan are free. When you’re ready, pay as you go for storage and embedding, with rates agreed before paid usage begins.
Share your systems and goals. We review your needs and outline a starting plan. No card required and no automatic paid enrollment.
Get started for freePay for the data we keep available: source content, embeddings, and the connected context your tools use.
Storage is metered over time. Your plan defines included data, billing units, and rates before activation.Pay for content processed into searchable meaning, including new or changed content that needs embedding again.
Embedding usage is separate from storage. Connector setup, ingestion, and other processing are quoted when needed.Your team can use the context directly, or Cirql can help find an opportunity, build the solution, and support it.
Custom builds and support have a separate agreed scope and price.For agencies, consultants, and implementation partners: bring your clients’ data together, then build the tools that make it useful.
Use a separate, permissioned context for each client. Your team builds on the approved data, or Cirql helps scope, build, and support the solution.
Discounted storage and embedding rates are available through a partner agreement, based on committed or aggregate usage. Client consent, account ownership, access, and handover are agreed upfront.
Ask about partner pricingStart with a conversation. We agree on your first data sources, who needs access, and how the context will be used. You get a scoped proposal before work begins.
Your existing systems stay in place. Your company data remains yours. Code ownership, hosting, and handover are defined in the agreement.
The data shows us where time is being lost. Our job is to reduce those hours and give your employees better tools, clearer information, and an easier way to work.
Before we build, we agree on the baseline, the target, the measurement window, and what your team needs to provide.
The exact scope and eligibility are written into the engagement agreement. Storage, embedding, and ingestion are separate services.
Start with what your business knows.
Discover what it can do next.