Nubits.AI Technology LLP · AI engineering for healthcare, legal and growing businesses
We design and ship AI agents grounded in your EHR, CRM and document stores. Every answer cites its source, every action is logged, and your data stays in your own cloud.
AssistantSample workspace
Which of my diabetic patients have an HbA1c above 9 and no follow-up booked?
Services
You work directly with the engineers who write the code. No account managers, no hand-offs to a junior team after the sale.
Full search setup at launch, then three months of articles, social posts, SEO checks and monthly reports, drafted by our agent and approved by you.
Packages
Each one follows a budget trend, a regulatory deadline or a clear growth need, and ends with something you can measure.
| Package | What you get | Timeline | Why now |
|---|---|---|---|
| CMS-0057-F FHIR APIsHealth plans and payers | Gap report, then Patient Access, Provider Access, Payer-to-Payer and Prior Authorization APIs. | Due 1 Jan 2027 | The federal API deadline for many Medicare Advantage, Medicaid, CHIP and Marketplace payers. |
| Prior auth & denials agentPractices and RCM teams | Requests assembled from the chart, status tracking, denials grouped by reason, draft appeals. | 6–8 weeks | Spending on prior-authorization AI grew about tenfold in 2025, the fastest in healthcare AI. |
| Clinical documentation assistantClinics and physician groups | Draft visit notes from dictation or recordings, written back to the EHR for sign-off. | 6–8 weeks | Ambient documentation was the largest area of health-system AI spending in 2025. |
| AI voice receptionistClinics, firms, service businesses | Answers every call, books appointments, hands urgent calls to staff with a summary. | 3–4 weeks | One of the most common first AI projects for small and mid-size businesses. |
| GenAI review pilotLaw firms and litigation support | AI first-pass review on a closed matter beside human calls, with an accuracy report and defensibility memo. | 4 weeks | Per-document GenAI review at about $0.11–0.50 is changing review economics. |
| Document intelligenceFinance, intake, operations | Extraction to your systems, confidence on every field, human review for the uncertain ones. | 3–5 weeks | Among the first internal workflows companies hand to AI agents. |
| Website + growth launchClinics, firms, startups, SMBs | A hand-designed website with full SEO setup, plus three months of the AI Marketing Agent free: articles, social posts and monthly reports. | 3–6 weeks | A site only pays off when people find it, so search and content start on launch day. |
| MCP integration sprintAny team using Claude or agents | One secure MCP server per sprint, with OAuth, least-privilege tools and audit logs. | 2–3 weeks | Enterprises are moving MCP into production, and governance is the hard part. |
| Company knowledge assistantAny industry | A Teams or Slack assistant over your policies and wikis, citing the exact page. | 3–4 weeks | Retrieval over internal data is a main destination for enterprise AI budgets. |
| AI readiness & governanceLeadership teams | Ranked use cases, data review, AI policy, risk register, EU AI Act and ISO/IEC 42001 gap check. | 2 weeks | Governance and data gaps are the top reasons AI pilots stall. |
Sources: CMS-0057-F · Capstone Partners via HIT Consultant, Sep 2026 · Oliver Wyman, May 2026 · ComplexDiscovery & EDRM, Mar 2026 · RTS Labs, 2026
Claude
Claude is strong at long documents and careful instructions, which suits clinical notes, contracts and case files. We add the integrations, guardrails and measurement around it.
Industries
Healthcare
EHR integrations, clinician apps, claims pipelines and the AI on top. We speak HL7, FHIR and X12 as fluently as Python and .NET.
{
"resourceType": "Encounter",
"status": "finished",
"class": { "code": "AMB" },
"type": [{ "text": "Follow-up visit" }],
"serviceProvider": { "reference": "Organization/clinic-212" },
"meta": { "security": [{ "code": "PHI" }] }
}
Models run in your Azure or AWS account.
Entra ID roles decide which patients a user or agent sees.
Every prompt and tool call logged with identifiers masked.
Agents suggest. People approve anything touching care.
eDiscovery & legal
Every model call, prompt version and reviewer override is logged and reproducible. Attorneys keep the final decision. Choose a stage to see where AI helps.
The model reads each document against your review protocol and proposes privilege calls, issue tags and a reason a reviewer can check in seconds. Low-confidence documents go to people first. Reviewer overrides feed the next calibration round.
Healthcare litigation sits between both worlds.
Discovery sets from hospitals, physician groups and payers are full of protected health information. We understand the HIPAA side and the review side, so PHI detection, protective-order handling and redaction run through the workflow from collection to production.
Blueprints
A reference design from our standard stack, adapted to each client's systems. Client work stays confidential and is never shown here.
Blueprint · prior authorization
Reads the order and chart, checks payer rules, assembles evidence and drafts the request for staff to submit. Denials come back with a draft appeal.
FHIR · X12 278 · Claude · .NET 8
Blueprint · CRM assistant
Reps ask about accounts, contacts and activity in plain language and get next steps. The agent sees only what the rep's role allows.
Agentforce · Apex · Flow · SOQL
Blueprint · knowledge copilot
A Teams copilot answers from Confluence, SharePoint and policies with citations, and runs read-only warehouse queries through MCP.
Teams · Azure APIM · MCP · AI Search
Domains & hosting
The engineers who run production cloud for regulated work can run your web presence too: domain, DNS, business email, hosting, backups and patching.
We confirm availability and the current registry price before anything is registered in your name.
Start
Domain and DNS, auto-renewing SSL, fast hosting on Cloudflare, business email, contact form and analytics.
Grow
Azure or AWS app hosting, daily backups with restore tests, uptime alerts and monthly patching.
Scale
Private networking, Key Vault, container hosting, CI/CD, quarterly cost reviews and HIPAA-conscious design.
How we work
Map the workflow, data and rules. You get a written scope, risks and an estimate.
1–2 weeksA working system on a slice of your data, inside your tenant, scored on questions your team writes.
4–6 weeksAuthentication, rate limits, audit logging, monitoring, load tests and a security review.
4–8 weeksWatch quality and cost, retune prompts and retrieval, add the next use case.
ongoingFixed scope
A defined use case at a fixed price, ending in a production-ready pilot.
Dedicated pod
A lead engineer and developers in your stand-ups and repositories, billed monthly.
Advisory
A written review of your AI or cloud design with risks, costs and a recommended path.
About
Most AI pilots stall because nobody planned for audit, access control and the real data. We plan for those on day one, then build the smallest thing that proves value.
We measure success by what runs in production, not by demos.
Systems run in your cloud, under your contracts and access controls.
Every AI answer points back to the record or document it came from.
Written updates every day, with risks raised as soon as we see them.
Questions
Nowhere new. We deploy into your own Azure, AWS or Salesforce environment and use model endpoints that run under your agreements. We do not copy patient or client data to our machines.
The one that fits the task and your contracts. We build with Claude, Azure OpenAI and models on Amazon Bedrock, and test candidates against your own questions before recommending one.
Yes. We keep a daily overlap window for calls and send written updates at the end of each day.
It can be, when the process is documented. We log prompts, model versions, reviewer overrides and QC samples so your team can explain and reproduce every call. Your attorneys keep the final decision.
No. Those are our deepest areas, but we also build AI agents, web platforms and hosting for businesses in other sectors.
Start a project
A 30-minute call with an engineer. You leave with a straight answer on feasibility, rough cost and the first step.