AI Agent Development Company in Tel Aviv

What a Tel Aviv agent build costs turns on how much of the workflow it is trusted to run end to end: a scoped Tel Aviv AI-agent proof of concept at Israeli rates, a production cybersecurity-vendor or fintech agent for Check Point, Wiz, CyberArk, SentinelOne, Cybereason, Pagaya, Lemonade, Payoneer, eToro, Riskified, Melio, Tipalti, or Rapyd, or full enterprise agent platforms with multiple agents, custom evaluation infrastructure, on-premises deployment, and fine-tuned open-weight backbones. Scope drivers include a baseline retrieval-augmented-generation pipeline, an adversarial threat model against the OWASP LLM Top 10, an evaluation harness wired to a regression-test gate, and Privacy Protection Law Amendment 13 hygiene. Tel Aviv rates sit close to San Francisco and well above European cities because the 8200 alumni and AI21-Mobileye-Wiz salary premium is real. We quote fixed-fee in ILS or USD.

Cybersecurity-vendor agents at Check Point, Wiz, CyberArk, SentinelOne, Cybereason, Palo Alto Networks Israel R&D, Imperva, Radware, Forescout, or Akamai Israel R&D operate inside the security product itself, which means a successful prompt injection or jailbreak is not just a chatbot embarrassment but a privilege-escalation event against the customer's security infrastructure. Our defence stack layers input-sanitisation gating with classifier models (the Lakera Guard pattern, NVIDIA NeMo Guardrails, or in-house classifiers trained on the OWASP LLM01 Prompt Injection corpus), structural prompt isolation that prevents user input from rewriting the system prompt (the spotlighting pattern, delimited-input parsing, indirect-injection detection on tool-call outputs), tool-execution sandboxing with IAM principal-of-least-privilege so a successful injection still cannot perform an out-of-scope action, output filtering against data-exfiltration patterns (PII detection, secret-string detection, the Microsoft Presidio open-source pattern), and continuous adversarial testing with Promptfoo, Garak, and PyRIT against the MITRE ATLAS Reconnaissance through Impact tactics. The full defence pack is documented in the threat model that ships with the product.

Amendment 13 (in force August 2024) substantially expanded Israeli privacy obligations: broader personal-information definitions, data-breach notification with a seventy-two-hour clock to the Privacy Protection Authority and affected data subjects, raised administrative fines, reformed database registration, and closer alignment with the EU GDPR adequacy framework Israel maintains. Agents create new privacy surface area because conversational memory, retrieval-augmented-generation indexes, tool-execution logs, and structured logging trails all become databases of personal information that did not exist before the agent was deployed. Our Amendment 13 delivery for agents includes a data-flow diagram covering every memory store, vector index, conversation log, and tool-execution audit trail, a lawful-basis mapping for each data type (consent, contract, legitimate interest under the Israeli framework rather than blind GDPR transposition), a retention-policy specification with automatic redaction or deletion at the documented horizon, a Privacy Protection Authority breach-response runbook tested in a tabletop exercise before production, and the data-subject-rights endpoints covering access, correction, and deletion against the agent's full memory and log surface area rather than just the primary database.

AI21 Labs is the Tel Aviv-headquartered foundation-model lab co-founded by Yoav Shoham (former chief scientist at Google, Stanford CS faculty), Amnon Shashua (co-founder of Mobileye), and Ori Goshen. The Jurassic family and the Jamba hybrid Mamba-Transformer architecture released in 2024 are AI21's flagship models, with strong Hebrew-language capability and a competitive position on long-context retrieval. We build on Jamba and Jurassic where the client wants an Israeli-developed foundation model for sovereignty, support, or capability reasons — particularly for Hebrew-language agents where Jamba's Hebrew tokenisation and pretraining mix substantially outperforms the OpenAI and Anthropic models on Israeli-domain content. We also build on OpenAI GPT-4 and GPT-4.5, Anthropic Claude 3.5 and 4 (Sonnet, Opus, Haiku), and Google Gemini 1.5 and 2.0 where the closed-frontier-model capability dominates the brief. Open-weight options (Llama 3.3, Mistral Large, Qwen 2.5, DeepSeek-V3) cover the self-hosted track where Privacy Protection Law Amendment 13 or Bank of Israel directives push us to on-premises or AWS Outposts Israeli-soil deployment.

Tel Aviv University (TAU's Ramot Industrial Liaison), the Technion in Haifa (T3 Technology Transfer), the Hebrew University of Jerusalem (Yissum Research Development), and Ben-Gurion University of the Negev (BGN Technologies) anchor the Israeli academic AI base. When an agent brief requires genuine research depth (novel multi-agent coordination, formal verification of agent behaviour, on-device LLM compression for an Israeli consumer app, behavioural-biometric authentication agents, adversarial-robustness research) we scope a Ramot, T3, Yissum, or BGN collaboration rather than overselling in-house capability. The 8200 alumni network in our extended hiring pipeline gives us direct access to the right researcher for the right problem without an academic handoff overhead. Our core team handles applied engineering, productionisation, and integration — which is where most academic AI work actually stalls. For standard work (retrieval-augmented generation, tool-use orchestration on existing frameworks, evaluation-harness construction) no academic partner is needed and we will say so up front rather than padding the proposal.

Tel Aviv agents almost always ship with Hebrew right-to-left and English left-to-right interface support at minimum, with Arabic right-to-left added where the Israeli Arabic-speaking domestic market or the regional export market is in scope. Our Hebrew-language agent delivery uses AI21 Jamba's Hebrew-native tokenisation or OpenAI and Anthropic's Hebrew-capable models where the use case allows it, with the prompt-construction pattern explicitly handling code-mixing (Hebrew sentences containing English technical terms is the dominant pattern in Israeli professional contexts), the response-formatting pattern handling Unicode bidirectional algorithm corner cases, the date and number formatting using Hebrew or Gregorian calendars depending on the cultural register the client brand wants, and the typography (Heebo, Rubik, Open Sans Hebrew, or Assistant for Hebrew; Tajawal or Cairo for Arabic) wired in the front-end. Conversation logs preserve the language tag on every message so the structured-logging pipeline downstream knows the language without locale-detection heuristics. Evaluation harnesses include Hebrew-language regression tests so a model upgrade or prompt change does not silently degrade Hebrew performance.

Every Tel Aviv production agent ships with a documented evaluation harness that gates production deployment on a regression-test pass rather than a manual vibe check. The harness combines Promptfoo (the open-source evaluation framework with strong CI integration), OpenAI Evals, Anthropic's evaluation framework, DeepEval, and Phoenix (Arize AI's open-source LLM evaluation and observability platform), with the test corpus split between functional regression tests (the agent still does its job after a change), safety regression tests (no jailbreak, no PII leak, no tool-misuse pattern that previously failed and was fixed), and adversarial red-team tests sourced from Garak, PyRIT (Microsoft's Python Risk Identification Toolkit), and a client-specific adversarial corpus we build from the threat model. Continuous evaluation runs on every prompt or model change in CI, with the regression test as a release gate. Post-launch, the structured-logging trail feeds a sampling pipeline that pulls live conversations into the evaluation harness retroactively, surfacing the failures the test corpus did not anticipate. Cybersecurity-vendor agents add a manual red-team engagement with an 8200-alumni red teamer before any customer-facing release.

Most custom Tel Aviv AI-agent work qualifies for Israel Innovation Authority (IIA, the rebranded Office of the Chief Scientist) funding through the R&D Fund matching-grant programme, the Magnet consortium programme for industry-academia collaboration, the Tnufa Pre-Seed Programme for early-stage founders, and the file-and-receive international tracks. The IIA returns 20 to 50 percent of qualifying R&D expenditure as a non-recourse-style grant against future revenue royalties, with the exact percentage depending on the technology track (deep-tech and dual-use technology tracks attract the higher percentages) and the geographic-periphery classification. The Encouragement of Capital Investments Law 5719-1959 separately offers preferred-enterprise corporate-tax reductions for technology companies meeting the qualifying-thresholds tests, and the Knesset Finance Committee periodically updates the technology-company thresholds. We deliver time-tracked logs, technical narratives, experiment histories, failed-hypothesis documentation, and the IIA-application-ready evidence pack your IIA programme manager will request — particularly the algorithmic-uncertainty and systematic-investigation narratives the IIA case officers look for. Final eligibility sits with your IIA case officer and your Israeli tax advisor.