Bring your data in.
Ingestion feeConnect the agreed sources, import and organize the records, and build the relationships that make them useful.
Initial import and ongoing ingestion are scoped by source, volume, and preparation needed.Context as a Service
Your data.
Put to work.
Bring your business data. We make it connected, searchable, and ready for your agents to work with.
900+ API connectionsYour tools, brought together
Cirql company contextManaged knowledge graph
CustomersOrdersEquipmentPeopleServiceKnow-how
Connected facts · Searchable meaning · Source records
Relevant evidence, on request
Your agent can ask“Which customers need our attention?”
Your business already knows. Give your AI the context.
Context as a Service brings your records, relationships, and know-how into one managed foundation. Built for small and midsize businesses.
01Build the foundation
Bring the data.
We’ll connect the dots.
Connect your systems. Upload your files. Bring years of history. We organize the information and map how your business actually fits together.
Different systems. One operation.
We connect your agreed sources and bring in their records, keeping track of where each fact came from.
ERPHarrison Packaging
Owns pump P-04
Service recordPump P-04
Last visit: 7 months ago
Service agreementPreventive maintenance
Service every 6 months
EmailJamie at Harrison
Coordinates service visits
Illustrative records. The same information follows every step.
Put information in useful buckets.
Customers, equipment, service history, and business rules get a shared structure. This is the ontology: the way your business defines its information.
Customer + equipment
Record 01Harrison Packaging
Owns pump P-04
Work history
Record 02Pump P-04
Last visit: 7 months ago
Business rule
Record 03Preventive maintenance
Service every 6 months
People + responsibilities
Record 04Jamie at Harrison
Coordinates service visits
Illustrative records. The same information follows every step.
Show how the pieces relate.
A context graph is a map of your business: the people, things, and work involved, plus the connections between them.
EquipmentPump P-04
Owned by
Harrison PackagingCustomer
Last serviced
7 months agoService record
Scheduled every
6 monthsService agreement
Coordinated by
JamieCustomer contact
Illustrative records. The same information follows every step.
Give an agent the context it needs.
An approved agent asks a question. Cirql retrieves relevant records and relationships so it can reason from your company knowledge.
Your approved agent asks
“Is Harrison’s pump due for service?”
Cirql retrieves the connected evidence
Context returned to the agent
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.
Under the hood.
In plain English.
Ingestion builds the foundation. Embeddings make meaning searchable. The graph connects the business behind the records.
What actually happens during ingestion?
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.
How do embeddings make information searchable?
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.
What is a context graph?
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.
How much data can AI work with?
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.
What stays synced and who can access it?
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.
02Put your knowledge to work
A whole business of knowledge.
Within reach of your agents.
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.
“Is Harrison’s pump due for service?”One question
Your growing
knowledge base
Years of records, documents, conversations, and team knowledge.
Stored outside the conversationThree ways to find context
Used together to retrieve relevant evidence.
Match the right record
Pump P-04
Customer: Harrison Packaging
Equipment record · ERPExact search anchors the question to the right customer, order, or piece of equipment.
Find the relevant knowledge
Preventive maintenance
“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.
Bring the surrounding context
A connected service history
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.
Relevant facts + relationships + sources
Context the agent can reason with.
It can request more as the question develops.
Your agent brings the task.
Cirql brings the context.
Connect your own agent or let us build one. Compatible tools request company knowledge through an API or MCP connection.
- 1Ask
“Find overdue service and prepare follow-ups.”
- 2Retrieve
Cirql checks access and returns equipment, agreements, contacts, and source evidence.
- 3Reason
The agent compares records, asks for missing context, and drafts its recommendation.
- 4Review & act
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.
Access you control.
Approved tools can request the context they need through an API or agent connection, within the access rules you agree with us.
Knowledge that stays.
New records join the same foundation. Your next tool can use the customers, products, relationships, and rules already connected.
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.
03See the difference
Ask bigger questions.
Build more useful tools.
“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.
Illustrative examples
“Who is overdue for service?”
Today · piece it together
ERP
Harrison owns pump P-04.
Service log
Last visit: 7 months ago.
Agreement
A visit every 6 months.
Cirql connects
the context
the context
With the pieces connected
The service opportunity is visible.
P-04 is one month past its agreed service interval. Jamie is the contact to arrange the visit.
“Which quotes need attention?”
Today · piece it together
CRM
Northstar quote Q-218 is open.
Email
The customer asked about lead time.
Sales activity
Alex sent the quote 12 days ago.
Cirql connects
the context
the context
With the pieces connected
The next follow-up has a reason.
Alex can follow up on Q-218 with an answer to the lead-time question, using the quote and conversation together.
“Where are we losing time?”
Today · piece it together
Order records
20 orders arrive each week.
Team assessment
Re-entry takes about 10 minutes per order.
Workflow walkthrough
Details are copied from email into two systems.
Cirql connects
the context
the context
With the pieces connected
A specific task worth measuring.
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.
Your team fills in
what the data can’t.
We learn through conversations, workflow walkthroughs, and an assessment we developed to capture how work actually gets done.
Explore our assessmentInside the assessment · illustrative
“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.
04Work with Cirql
We manage the context.
You choose what comes next.
Start with your data and a conversation. We scope the connections, organize your knowledge, and keep it available. Build with your team, your partners, or ours.
Keep it ready to use.
Recurring storage & managementWe host the knowledge layer, keep connected data up to date, and make it callable by your approved tools and agents.
Priced around storage, updates, and access needs. Real-time sync where supported; agreed refresh schedules elsewhere.Build the next thing.
Optional builds & supportUse the context to find a bottleneck, agree on the value of fixing it, and build the tool that helps your team.
Solutions and ongoing support are scoped separately.Start 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.
05The outcome
Find the wasted hours.
Give your team time back.
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.
AI ROI guarantee · eligible Cirql builds100%back if we can’t
back if we can’t
prove the ROI.
Before we build, we agree on the baseline, the target, the measurement window, and what your team needs to provide.
- 01Measure the work before and after.
- 02Show the result in hours saved, errors reduced, revenue recovered, or another agreed business metric.
- 03If we cannot produce and prove the agreed ROI, we refund 100% of the eligible build fee.
The exact scope and eligibility are written into the engagement agreement. Ingestion and storage are separate services.
Start with what your business knows.
Discover what it can do next.