Claimora
Claims triage agent
An agent reads claim forms and photos, checks the policy, and sends simple claims for approval and complex ones to an adjuster.
−48%handling time
24/7intake
AI-first software outsourcing
Your software,made AI‑native.
Elpisor extends your engineering team, modernizes the systems you depend on and integrates AI into them, so your business runs faster without starting from scratch.
NDA from the first call. Team ready in two to three weeks.
Your systems
ERPSAP ERPOrders, inventory
CRMSalesforceCustomers, cases
JVLegacy Java coreBilling since 2011
DOCDocument storeContracts, policies
Elpisor AI layerv2.4
Agents12 active
Retrieval48k docs
GuardrailsPII, policy
Evaluationsnightly
Observabilitytraces
Outcomes this month
Tickets resolved by agents+18%
62%
Avg. handling time−41%
3m 12s
Documents processed+2.3k
12,480
Illustrative dashboard. Figures show the kind of results we track, not a specific client.
We integrate with the tools you already use
- OpenAI
- Anthropic Claude
- Azure
- AWS
- Google Cloud
- Salesforce
- SAP
- HubSpot
- Slack
- Jira
What we do
We help. We modernize. We integrate.
Three ways to work with us. Most clients start with one and grow into all three.
01 / Help
An engineering team that feels like yours.
Senior engineers who join your stand-ups, your repositories and your roadmap. Every one of them works with AI tools daily, so you get more done per sprint.
- Full-stack, mobile, data, ML and QA engineers
- Team ready in two to three weeks
- Working hours that overlap with yours
- Replace or scale people without notice periods
DK
Tech leadArchitecture, code review
12 yrsAL
Full-stack engineerTypeScript, Node.js, React
8 yrsMS
Full-stack engineerJava, Spring, PostgreSQL
7 yrsRB
ML engineerLLM apps, retrieval, evaluations
AIYN
QA automationPlaywright, AI test generation
AIWorking hours overlap
06:00Your team + Elpisor22:00
02 / Modernize
Legacy code, brought up to date.
We move ageing systems to current platforms step by step, with AI doing the heavy reading of old code and tests guarding every change.
- AI-assisted audit of the existing codebase
- Monoliths split into services and APIs
- Desktop and on-premise apps moved to web and cloud
- Zero-downtime migration with parallel runs
OrderServlet.java → orders/api.ts
- public void doPost(HttpServletRequest req, ...) {
- String id = req.getParameter("id");
- Order o = OrderDAO.load(conn, id);
+ router.post("/orders/:id", async (req, res) => {
+ const order = await orders.get(req.params.id);
+ res.json(await enrich(order));
// 214 callers updated, contract tests unchanged
1,284 tests passedAI review: no breaking changesCoverage 91%
03 / Integrate
AI connected to the systems you run.
Assistants and agents that read your documents, call your APIs and follow your access rules. They do real work, and every step is logged.
- Agents for support, sales, operations and finance
- Search and answers over your own documents
- Connections to ERP, CRM, billing and messengers
- Quality tests and monitoring after launch
Hi, where is my order 4471? It was due yesterday.
erp.getOrder(4471)200
carrier.track("IL-88213")200
Your order left our warehouse on Monday and is with the courier now. Delivery is planned for tomorrow before 14:00. I have sent you the tracking link.
Great, thank you!
Capabilities
Everything a modern product needs.
One partner from first prototype to production, with AI in every layer of the stack.
AI agents that act, not just answer.
Agents that take a request, call your systems, check the result and hand off to a person when it matters.
Knowledge retrieval
Answers from your own documents, with sources.
ConfluenceSharePointGoogle DrivePDFTicketsEmail
Evaluations and guardrails
Every model change is tested before it ships.
Answer accuracy0.94
Source grounding0.97
PII leakage0 cases
Latency p951.8 s
Cloud and DevOps
Pipelines, containers and costs you can see.
QA automation
AI writes the tests. Engineers decide what matters.
87%
test coverage target
Mobile apps
Native and cross-platform apps with on-device AI for speed and privacy.
SwiftKotlinFlutterReact NativeCore MLTensorFlow Lite
Data platforms
Pipelines and warehouses that make your data ready for AI.
PostgreSQLpgvectorBigQuerySnowflakedbtKafka
Work
Selected projects.
A selection of products we designed, built, modernized or connected to AI. Ask us on a call for the full story behind any of them.
Kyvio
KYC document AI
Identity documents are read, checked for tampering and matched to the applicant in seconds, with a person reviewing edge cases.
90 sonboarding
4×throughput
Fabrix ERP
Desktop ERP moved to the cloud
A fifteen-year-old desktop ERP rebuilt as a web platform with open APIs, migrated module by module while the factory kept working.
0hours of downtime
−35%infrastructure cost
Medisay
Voice and chat booking assistant
Patients book, move and cancel appointments by phone or WhatsApp. The assistant works with the clinic's real schedule.
60%calls handled
3languages
Fieldwise
Offline-first field service app
Technicians get jobs, maps and checklists without signal. On-device AI checks repair photos before a job is closed.
−30%repeat visits
100%offline
Testloop
Test suite rebuilt with AI
A flaky manual regression replaced by AI-generated, self-healing tests that run on every commit instead of every release.
1,200automated tests
15 minfull run
CVBANK
Recruiting platform
A new way for candidates, recruiters and employers to find each other, built around how HR teams actually work.
3user roles
Full cycledesign to launch
MealDeal
Meal voucher marketplace
A web service for browsing restaurants and buying fixed-price meal vouchers, with packages and reports for owners.
2sides of the market
Full cycledesign to launch
Tickets and Events
Ticketing platform
An embeddable platform to create events, pick seats on a live hall map and sell tickets, with controls for organisers.
Liveseat map
Embeddableon any site
How we engage
Pick the model that fits.
Switch between them as your product grows. No lock-in, no long notice periods.
Most popular
Dedicated team
A complete squad that works only on your product, led by our tech lead or yours.
- Start
- 2–3 weeks
- Size
- 3–12 people
- Billing
- Monthly
Staff augmentation
Individual engineers who join your existing team to close a skills gap.
- Start
- 1–2 weeks
- Size
- 1+ people
- Billing
- Per engineer
Fixed-scope project
Agreed scope, timeline and budget. Best for clear requirements.
- Start
- After scoping
- Size
- As needed
- Billing
- Milestones
Start here
AI pilot
One use case on your real data, a working prototype and a clear answer on whether to scale.
- Start
- 1 week
- Length
- 4–6 weeks
- Billing
- Fixed price
Process
From first call to working software.
Day 1
Discovery call
We sign an NDA, listen to the problem and agree on what success looks like.
Week 1–2
Express analysis
Architecture, risks, where AI fits and an honest estimate.
Week 2–4
Prototype
A working AI prototype or clickable design, tested with real users.
Week 4+
Build in sprints
Two-week sprints, a demo after each one, tests from the first build.
Ongoing
Run and improve
Monitoring, model evaluations and new features as your users grow.
13+
years building software
150+
projects delivered
60
engineers available
9
countries with our clients
Security and trust
Outsourcing without the worry.
Your code, your data and your customers stay protected at every step.
NDA from the first call
Nothing about your project is discussed before it is signed.
Your IP, your code
All code and rights belong to you from the first commit, in your repositories.
Data stays in your cloud
Models run in your environment when needed. Nothing trains public models.
Built for GDPR
Processes and architecture designed for GDPR and similar privacy laws.
Access you control
SSO, least-privilege accounts and access removed the day someone leaves.
Full transparency
Shared boards, weekly demos and time reports you can check at any moment.
Clients
What clients say.
“Elpisor connected an AI agent to our ERP and support desk in six weeks. Half of routine tickets now close without a person, and our team finally works on the hard cases.”
“They modernized a fifteen-year-old system module by module. We never stopped production, and our infrastructure bill went down by a third.”
“The team joined our sprints in two weeks and brought AI into our testing from day one. Releases went from monthly to weekly.”
FAQ
Questions, answered.
How fast can a team start?
Individual engineers usually start within one to two weeks. A full dedicated team takes two to three weeks, including onboarding to your tools and code.
How do your engineers work with our team?
Our engineers work remotely, in time zones that overlap with your working day. Everyone speaks English and joins your tools and rituals.
Can you take over an existing codebase?
Yes. We start with an AI-assisted audit of the code, tests and infrastructure, then agree on a plan before changing anything.
What happens to our data when you use AI?
It stays in your infrastructure or in a cloud region you choose. For sensitive data we deploy models in your environment, and nothing is used to train public models.
Who owns the code?
You do, from the first commit. Work happens in your repositories, under your accounts.
Do you work with startups?
Yes. Many projects start as an AI pilot or an MVP and grow into a dedicated team as the product finds its market.
Contact
Let’s talk about your project.
Tell us what you need. A senior engineer replies within one business day.
- info@elpisor.com
- Office
- Menahem Plaut 10, Rehovot, Israel